{"id":10,"date":"2018-05-09T14:32:17","date_gmt":"2018-05-09T05:32:17","guid":{"rendered":"https:\/\/www.med.osaka-u.ac.jp\/pub\/biostat\/?page_id=10"},"modified":"2026-03-12T18:00:24","modified_gmt":"2026-03-12T09:00:24","slug":"research","status":"publish","type":"page","link":"https:\/\/www.med.osaka-u.ac.jp\/pub\/biostat\/research","title":{"rendered":"\u7814\u7a76"},"content":{"rendered":"<p><script>\n\t\t\t\t$(function(){\n                    jQuery(\".lecture-title-wrap\").on('click',function(){\n\t\t\t\t\t\tjQuery(this).toggleClass(\"active\");\n\t\t\t\t\t});\n                });\n            <\/script><\/p>\n<div class=\"lecture-article\">\n<div class=\"lecture-title-wrap\">\n<div class=\"lecture-title\">\n<h3 class=\"m_o0\">1.\u89b3\u5bdf\u7814\u7a76\u306b\u304a\u3051\u308b\u4ea4\u7d61\u56e0\u5b50\u306e\u8abf\u6574\u6cd5<\/h3>\n<\/p><\/div>\n<div class=\"trigger\"><span><\/span><span><\/span><\/span><\/div>\n<\/p><\/div>\n<div class=\"lecture-contents\">\n<h3 class=\"m_o0\">1.1 \u591a\u91cd\u9811\u5065\u63a8\u6e2c\u6cd5<\/h3>\n<p>\u7121\u4f5c\u70ba\u5316\u7814\u7a76\u306f\u3082\u3063\u3068\u3082\u4fe1\u983c\u5ea6\u306e\u9ad8\u3044\u7814\u7a76\u65b9\u6cd5\u3068\u3057\u3066\u53d7\u3051\u5165\u308c\u3089\u308c\u3001\u81e8\u5e8a\u533b\u5b66\u306e\u767a\u5c55\u306b\u5927\u304d\u304f\u8ca2\u732e\u3057\u3066\u3044\u307e\u3059\u3002\u4e00\u65b9\u3067\u3001\u8cbb\u7528\u9762\u3084\u502b\u7406\u7684\u306a\u9762\u3067\u7121\u4f5c\u70ba\u5316\u7814\u7a76\u306e\u5b9f\u65bd\u304c\u56f0\u96e3\u306a\u5834\u5408\u3082\u898b\u3089\u308c\u3001\u65e2\u5b58\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306a\u3069\u306e\u89b3\u5bdf\u7814\u7a76\u306e\u7d71\u8a08\u89e3\u6790\u304c\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u3066\u3044\u307e\u3059\u3002\u89b3\u5bdf\u7814\u7a76\u306b\u304a\u3044\u3066\u306f\u3001\u4ea4\u7d61\u56e0\u5b50\u306e\u5f71\u97ff\u3092\u9069\u5207\u306b\u8abf\u6574\u3059\u308b\u3053\u3068\u304c\u5fc5\u8981\u3068\u306a\u308a\u3001\u76ee\u7684\u5909\u6570\u3068\u5171\u5909\u91cf\u306e\u95a2\u9023\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u57fa\u3065\u304f\u65b9\u6cd5(OR)\u3084\u3001\u50be\u5411\u30b9\u30b3\u30a2\u3001\u3059\u306a\u308f\u3061\u3001\u5171\u5909\u91cf\u3068\u6cbb\u7642\u9078\u629e\u306e\u95a2\u9023\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u3088\u308b\u65b9\u6cd5\u304c\u5229\u7528\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u65b9\u6cd5\u3067\u4ea4\u7d61\u56e0\u5b50\u3092\u9069\u5207\u306b\u8abf\u6574\u3059\u308b\u306b\u306f\u3001\u305d\u308c\u305e\u308c\u306e\u95a2\u9023\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u304c\u9069\u5207\u3067\u3042\u308b\u3053\u3068\u304c\u5fc5\u8981\u3068\u306a\u308a\u307e\u3059\u3002\u3053\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u4e0d\u78ba\u5b9f\u6027\u3092\u8efd\u6e1b\u3059\u308b\u76ee\u7684\u3067\u3001OR\u3068\u50be\u5411\u30b9\u30b3\u30a2\u306b\u3088\u308b\u91cd\u307f\u4ed8\u3051\u63a8\u5b9a\u6cd5\u306e\u4e21\u8005\u3092\u7d44\u307f\u5408\u308f\u305b\u3001\u3044\u305a\u308c\u304b\u306e\u5c11\u306a\u304f\u3068\u3082\u4e00\u65b9\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u304c\u9069\u5207\u3067\u3042\u308c\u3070\u4ea4\u7d61\u56e0\u5b50\u306e\u5f71\u97ff\u304c\u9069\u5207\u306b\u8abf\u6574\u3067\u304d\u308b\u3001\u4e8c\u91cd\u9811\u5065\u63a8\u5b9a\u6cd5\u304c\u6ce8\u76ee\u3092\u96c6\u3081\u3066\u3044\u307e\u3059\u3002Hattori and Henmi (2014)\u3067\u306f\u3001\u66f4\u306b\u50be\u5411\u30b9\u30b3\u30a2\u306b\u3088\u308b\u5c64\u5225\u89e3\u6790\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u3053\u3068\u3067\u3001\u50be\u5411\u30b9\u30b3\u30a2\u306e\u30e2\u30c7\u30eb\u3068\u3057\u3066\u8907\u6570\u306e\u30e2\u30c7\u30eb\u3092\u8a31\u5bb9\u3059\u308b\u5c64\u5225\u89e3\u6790\u306e\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u3088\u3046\u306a\u8907\u6570\u306e\u5019\u88dc\u306e\u30e2\u30c7\u30eb\u3092\u8a31\u5bb9\u3059\u308b\u65b9\u6cd5\u8ad6\u306f\u591a\u91cd\u9811\u5065\u63a8\u5b9a\u3068\u547c\u3070\u308c\u3001\u30e2\u30c7\u30eb\u9078\u629e\u3068\u306f\u7570\u306a\u308b\u30d1\u30e9\u30c0\u30a4\u30e0\u306b\u3088\u308b\u65b0\u3057\u3044\u7d71\u8a08\u7684\u63a8\u6e2c\u306e\u67a0\u7d44\u307f\u3068\u8003\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u5148\u884c\u7814\u7a76\u3067\u306f\u7d4c\u9a13\u5c24\u5ea6\u6cd5\u306b\u57fa\u3065\u304f\u591a\u91cd\u9811\u5065\u63a8\u5b9a\u91cf\u304c\u63d0\u6848\u3055\u308c\u3066\u304d\u307e\u3057\u305f\u304c(Han and Wang 2013, Biometrika)\u3001\u3053\u306e\u65b9\u6cd5\u306f\u50be\u5411\u30b9\u30b3\u30a2\u306e\u91cd\u307f\u4ed8\u304d\u63a8\u5b9a\u306b\u76f8\u5f53\u3057\u3066\u304a\u308a\u3001\u6211\u3005\u306e\u65b9\u6cd5\u306f\u3088\u308a\u9811\u5065\u306a\u5c64\u5225\u89e3\u6790\u3092\u7d44\u307f\u8fbc\u3093\u3067\u3044\u308b\u7279\u5fb4\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002Nomura and Hattori (2018)\u3067\u306f\u3001\u7d14\u7c8b\u306b\u50be\u5411\u30b9\u30b3\u30a2\u306e\u5c64\u5225\u89e3\u6790\u306b\u57fa\u3065\u3044\u3066\u3001\u50be\u5411\u30b9\u30b3\u30a2\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u8aa4\u7279\u5b9a\u306b\u5bfe\u3057\u3066\u975e\u5e38\u306b\u9811\u5065\u3067\u304b\u3064\u7c21\u660e\u306a\u591a\u91cd\u9811\u5065\u63a8\u5b9a\u91cf\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Hattori S and Hemni M (2014). Stratified doubly robust estimator for the average causal effect. Biometrics 70, 270-277<\/p>\n<p>Nomura T and Hattori S (2018). Estimation of the average causal effect via multiple propensity score stratification. Communications in Statistics, Simulation and Computation 47(1), 48-62.<\/p>\n<p>\u50be\u5411\u30b9\u30b3\u30a2\u306b\u3088\u308b\u4ea4\u7d61\u306e\u8abf\u6574\u6cd5\u3068\u3057\u3066\u306f\u3001\u91cd\u307f\u4ed8\u3051\u89e3\u6790\u4ee5\u5916\u306b\u3082\u3001\u5c64\u5225\u89e3\u6790\u304c\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u8457\u3057\u3044\u6027\u8cea\u3092\u6709\u3057\u3066\u3044\u308b\u4e8c\u91cd\u9811\u5065\u63a8\u5b9a\u91cf\u304c\u3001\u50be\u5411\u30b9\u30b3\u30a2\u306e\u91cd\u307f\u4ed8\u3051\u89e3\u6790\u306b\u4f9d\u3063\u3066\u3044\u308b\u3053\u3068\u304b\u3089\u3001\u6700\u8fd1\u306e\u50be\u5411\u30b9\u30b3\u30a2\u89e3\u6790\u306e\u767a\u5c55\u306e\u307b\u3068\u3093\u3069\u306f\u91cd\u307f\u4ed8\u3051\u89e3\u6790\u306b\u4f9d\u3063\u3066\u3044\u307e\u3059\u3002\u3057\u304b\u3057\u306a\u304c\u3089\u3001\u5c64\u5225\u89e3\u6790\u306f\u3001\u91cd\u307f\u4ed8\u3051\u89e3\u6790\u3088\u308a\u3082\u9811\u5065\u3067\u3042\u308a\u304b\u3064\u5b89\u5b9a\u3059\u308b\u9577\u6240\u3092\u6709\u3057\u3066\u3044\u307e\u3059\u3002\u4e00\u65b9\u3067\u3001\u3044\u304f\u3064\u304b\u306e\u5c11\u6570\u306e\u5c64\u306b\u3088\u308b\u5c64\u5225\u306b\u57fa\u3065\u3044\u3066\u3044\u308b\u305f\u3081\u3001\u8abf\u6574\u3057\u304d\u308c\u306a\u3044\u30d0\u30a4\u30a2\u30b9(\u6b8b\u5dee\u4ea4\u7d61)\u306e\u554f\u984c\u3092\u6b8b\u3057\u3066\u3044\u307e\u3059\u3002Tsujimoto and Hattori (2026)\u3067\u306f\u3001\u5c64\u5225\u63a8\u5b9a\u91cf\u304c\u5c40\u6240\u5b9a\u6570\u306e\u50be\u5411\u30b9\u30b3\u30a2\u3067\u306e\u9006\u78ba\u7387\u91cd\u307f\u4ed8\u3051\u63a8\u5b9a\u3068\u3057\u3066\u306e\u89e3\u91c8\u306b\u52a0\u3048\u3066\u3001\u5c40\u6240\u5b9a\u6570\u306a\u50be\u5411\u30b9\u30b3\u30a2\u306b\u3088\u308b\u30a2\u30a6\u30c8\u30ab\u30e0\u56de\u5e30\u3068\u898b\u306a\u305b\u308b\u3068\u3053\u3068\u6307\u6458\u3057\u3001\u305d\u308c\u306b\u57fa\u3065\u3044\u3066\u5c64\u5225\u89e3\u6790\u306e\u9811\u5065\u6027\u3092\u4fdd\u6301\u3057\u3064\u3064\u3001\u6b8b\u5dee\u4ea4\u7d61\u306e\u306a\u3044\u63a8\u5b9a\u91cf\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\u3002\u3055\u3089\u306b\u4e8c\u91cd\u9811\u5065\u578b\u63a8\u5b9a\u91cf\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u3053\u308c\u306f\u9006\u78ba\u7387\u91cd\u307f\u4ed8\u3051\u306b\u4f9d\u3089\u306a\u3044\u4e8c\u91cd\u9811\u5065\u63a8\u5b9a\u91cf\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Tsujimoto N and Hattori S (2026). Eliminating residual confounding in the stratified estimator via smoothing along with the propensity score. Statistical Methods in Medical Research, accepted.<\/p>\n<h3 class=\"m_o0\">1.2 \u672a\u6e2c\u5b9a\u4ea4\u7d61\u56e0\u5b50\u306b\u5bfe\u3059\u308b\u611f\u5ea6\u89e3\u6790\u6cd5<\/h3>\n<p>\u50be\u5411\u30b9\u30b3\u30a2\u306b\u3088\u308b\u4ea4\u7d61\u306e\u8abf\u6574\u306f\u5e83\u304f\u89b3\u5bdf\u7814\u7a76\u306e\u89e3\u6790\u306b\u5fdc\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u89e3\u6790\u7d50\u679c\u306e\u59a5\u5f53\u6027\u306e\u524d\u63d0\u3068\u3057\u3066\u3001\u3059\u3079\u3066\u306e\u4ea4\u7d61\u56e0\u5b50\u304c\u6e2c\u5b9a\u3055\u308c\u3001\u9069\u5207\u306b\u50be\u5411\u30b9\u30b3\u30a2\u304c\u30e2\u30c7\u30ea\u30f3\u30b0\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u304c\u5fc5\u8981\u3068\u306a\u308a\u307e\u3059\u3002\u3057\u304b\u3057\u306a\u304c\u3089\u3001\u3059\u3079\u3066\u306e\u4ea4\u7d61\u56e0\u5b50\u304c\u6e2c\u5b9a\u3055\u308c\u3066\u3044\u308b\u4fdd\u8a3c\u306f\u306a\u304f\u3001\u672a\u6e2c\u5b9a\u4ea4\u7d61\u56e0\u5b50\u306e\u554f\u984c\u306f\u3001\u89b3\u5bdf\u7814\u7a76\u306e\u7d71\u8a08\u89e3\u6790\u306b\u5e38\u306b\u4ed8\u304d\u307e\u3068\u3046\u91cd\u8981\u306a\u554f\u984c\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u672a\u6e2c\u5b9a\u4ea4\u7d61\u56e0\u5b50\u306e\u5f71\u97ff\u304c\u3069\u306e\u7a0b\u5ea6\u3042\u308a\u5f97\u308b\u304b\u3092\u5b9a\u91cf\u5316\u3059\u308b\u69d8\u3005\u306a\u611f\u5ea6\u89e3\u6790\u306e\u65b9\u6cd5\u304c\u63d0\u6848\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u672a\u6e2c\u5b9a\u4ea4\u7d61\u56e0\u5b50\u304c\u3069\u306e\u3088\u3046\u306b\u5f71\u97ff\u3059\u308b\u304b\u3092\u30e2\u30c7\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u3067\u8a55\u4fa1\u3059\u308b\u3053\u3068\u304c\u3042\u308a\u5f97\u307e\u3059\u304c\u3001\u305d\u306e\u30e1\u30ab\u30cb\u30ba\u30e0\u3092\u30e2\u30c7\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u306f\u56f0\u96e3\u3067\u3001\u9650\u5b9a\u7684\u306a\u691c\u8a0e\u3057\u304b\u3067\u304d\u306a\u3044\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002\u4eee\u5b9a\u3092\u7f6e\u304b\u306a\u3044\u3067\u8a55\u4fa1\u3059\u308b\u5834\u5408\u306b\u306f\u3001\u4ed8\u52a0\u7684\u306a\u60c5\u5831\u304c\u306a\u304f\u3001\u4e0d\u78ba\u5b9f\u6027\u304c\u5927\u304d\u304f\u3001\u307b\u307c\u60c5\u5831\u306e\u306a\u3044\u89e3\u6790\u7d50\u679c\u306b\u7559\u307e\u3063\u3066\u3057\u307e\u3046\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u3088\u3046\u306b\u611f\u5ea6\u89e3\u6790\u6cd5\u306b\u306f\u6c7a\u5b9a\u7248\u3068\u547c\u3070\u308c\u308b\u3082\u306e\u304c\u5b58\u5728\u3057\u306a\u3044\u73fe\u72b6\u306b\u3042\u308a\u307e\u3059\u3002Tang, Yi, Huang and Hattori (2024)\u3067\u306f\u3001\u63a8\u5b9a\u95a2\u6570\u306b\u57fa\u3065\u304f\u5236\u7d04\u3092\u5c0e\u5165\u3059\u308b\u3053\u3068\u3067\u3001\u6700\u5c0f\u9650\u306e\u4eee\u5b9a\u306e\u3082\u3068\u3067\u5e73\u5747\u56e0\u679c\u52b9\u679c\u306e\u4e0a\u9650\u3068\u4e0b\u9650\u3092\u4e0e\u3048\u308b\u611f\u5ea6\u89e3\u6790\u6cd5\u306e\u8a66\u307f\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002Tang, Yi, Huang and Hattori (2025)\u3067\u306f\u3001\u9023\u7d9a\u578b\u30a2\u30a6\u30c8\u30ab\u30e0\u3042\u308b\u3044\u306f\u4e8c\u5024\u578b\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u3092\u60f3\u5b9a\u3057\u3066\u3044\u307e\u3057\u305f\u304c\u3001Tang, Yi, Huang and Hattori (in preparation)\u3067\u306f\u3001\u751f\u5b58\u6642\u9593\u30a2\u30a6\u30c8\u30ab\u30e0\u3092\u5bfe\u8c61\u3068\u3057\u3066\u3001\u30cf\u30b6\u30fc\u30c9\u6bd4\u3042\u308b\u3044\u306f\u5236\u9650\u4ed8\u304d\u5e73\u5747\u751f\u5b58\u671f\u9593\uff08RMST\uff09\u306b\u5bfe\u3059\u308b\u4e0a\u4e0b\u9650\u3092\u4e0e\u3048\u308b\u65b9\u6cd5\u3092\u691c\u8a0e\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Tang C, Zhou Yi; Huang A and Hattori S (2025) A simple sensitivity analysis method for unmeasured confounders via linear programming with estimating equation constraints. Statistics in Medicine 44(3-4).<\/p>\n<p>\u2003<\/p><\/div>\n<\/p><\/div>\n<p><!-- -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- --><\/p>\n<div class=\"lecture-article\">\n<div class=\"lecture-title-wrap\">\n<div class=\"lecture-title\">\n<h3 class=\"m_o0\">2.\u81e8\u5e8a\u8a66\u9a13\u306e\u7d71\u8a08\u89e3\u6790\u6cd5<\/h3>\n<\/p><\/div>\n<div class=\"trigger\"><span><\/span><span><\/span><\/span><\/div>\n<\/p><\/div>\n<div class=\"lecture-contents\">\n<h4 class=\"m_o0\">2.1 \u691c\u8a3c\u7684\u81e8\u5e8a\u8a66\u9a13\u306b\u304a\u3051\u308b\u751f\u5b58\u6642\u9593\u89e3\u6790<\/h4>\n<p>\u751f\u5b58\u671f\u9593\u3092\u4e3b\u8981\u8a55\u4fa1\u9805\u76ee\u3068\u3059\u308b\u7121\u4f5c\u70ba\u5316\u81e8\u5e8a\u8a66\u9a13\u3067\u306f\u3001\u5404\u6295\u4e0e\u7fa4\u306e\u751f\u5b58\u95a2\u6570\u3092Kaplan-Meier\u6cd5\u3067\u63a8\u5b9a\u3057\u3001\u7fa4\u9593\u6bd4\u8f03\u3092logrank\u691c\u5b9a\u3067\u6bd4\u8f03\u3059\u308b\u3053\u3068\u304c\u5e83\u304f\u884c\u308f\u308c\u307e\u3059\u3002\u6cbb\u7642\u52b9\u679c\u306f\u30cf\u30b6\u30fc\u30c9\u6bd4\u3067\u8981\u7d04\u3055\u308c\u308b\u3053\u3068\u304c\u591a\u304f\u3001Cox\u6bd4\u4f8b\u30cf\u30b6\u30fc\u30c9\u30e2\u30c7\u30eb\u304c\u5e83\u304f\u7528\u3044\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u306elogrank-HR\u30b9\u30c8\u30e9\u30e9\u30c6\u30b8\u30fc\u306b\u3088\u308a\u89e3\u6790\u3092\u884c\u3046\u5834\u5408\u3001\u76ee\u6a19\u3068\u3059\u308b\u30a4\u30d9\u30f3\u30c8\u6570\u304c\u89b3\u5bdf\u3055\u308c\u305f\u969b\u306b\u7d71\u8a08\u89e3\u6790\u3092\u884c\u3046\u30a4\u30d9\u30f3\u30c8\u99c6\u52d5\u578b\u306e\u30c7\u30b6\u30a4\u30f3\u3092\u3068\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30a4\u30d9\u30f3\u30c8\u99c6\u52d5\u578b\u30c7\u30b6\u30a4\u30f3\u3092\u3068\u308b\u3053\u3068\u3067\u3001\u691c\u51fa\u3057\u305f\u3044\u6cbb\u7642\u52b9\u679c\u306b\u5bfe\u3057\u3066\u3001\u78ba\u5b9f\u306b\u76ee\u6a19\u306e\u691c\u51fa\u529b\u3092\u78ba\u4fdd\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u3053\u3068\u306f\u3001logrank-HR\u30b9\u30c8\u30e9\u30c6\u30b8\u30fc\u306e\u5927\u304d\u306a\u5f37\u307f\u3067\u3001\u4ed6\u306e\u89e3\u6790\u6cd5\u3092\u3068\u3063\u305f\u5834\u5408\u306b\u306f\u5fc5\u305a\u3057\u3082\u6210\u308a\u7acb\u3061\u307e\u305b\u3093\u3002\u4e00\u65b9\u3067\u3001logrank-HR\u30b9\u30c8\u30e9\u30c6\u30b8\u30fc\u3067\u306f\u3001\u5171\u5909\u91cf\u60c5\u5831\u3092\u89e3\u6790\u306b\u7d44\u307f\u8fbc\u3080\u3053\u3068\u304c\u3067\u304d\u306a\u3044\u6b20\u70b9\u304c\u3042\u308a\u307e\u3059\u3002Hattori, Komukai and Friede(2022)\u3067\u306f\u3001\u5171\u5909\u91cf\u8abf\u6574logrank\u691c\u5b9a\u3067\u691c\u51fa\u529b\u306e\u6539\u5584\u3092\u8aee\u308a\u3064\u3064\u3001\u691c\u51fa\u3057\u305f\u3044\u6cbb\u7642\u52b9\u679c\u306b\u5bfe\u3059\u308b\u691c\u51fa\u529b\u3092\u4fdd\u8a3c\u3059\u308b\u3001\u30a4\u30d9\u30f3\u30c8\u99c6\u52d5\u7684\u306a\u30c7\u30b6\u30a4\u30f3\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002<br \/>\n\u518d\u767a\u4e8b\u8c61\u306b\u5bfe\u3057\u3066\u306f\u3001\u500b\u4eba\u5185\u306e\u30a4\u30d9\u30f3\u30c8\u767a\u73fe\u6642\u9593\u304c\u72ec\u7acb\u3067\u3042\u308b\u5834\u5408\u306b\u306f\u540c\u69d8\u306e\u30a4\u30d9\u30f3\u30c8\u99c6\u52d5\u578b\u30c7\u30b6\u30a4\u30f3\u3092\u3068\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u304c\u3001\u72ec\u7acb\u3067\u306a\u3044\u5834\u5408\u306b\u306f\u56f0\u96e3\u3067\u3042\u308a\u3001\u691c\u51fa\u529b\u306f\u8a66\u9a13\u958b\u59cb\u6642\u70b9\u3067\u306e\u30a4\u30d9\u30f3\u30c8\u9593\u306e\u95a2\u9023\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u4f9d\u5b58\u3057\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u30c7\u30b6\u30a4\u30f3\u6bb5\u968e\u3067\u306e\u8a2d\u5b9a\u304c\u9069\u5207\u3067\u306a\u3044\u3068\u691c\u51fa\u529b\u304c\u4e0d\u5341\u5206\u3068\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002Zhang and Hattori (2026)\u3067\u306f\u518d\u767a\u4e8b\u8c61\u306b\u5bfe\u3059\u308bAndersen-Gill\u30e2\u30c7\u30eb\u306b\u5bfe\u3057\u3066\u3001\u30ed\u30d0\u30b9\u30c8\u30b5\u30f3\u30c9\u30a6\u30a3\u30c3\u30c1\u5206\u6563\u3092\u30d6\u30e9\u30a4\u30f3\u30c9\u4e0b\u3067\u30e2\u30cb\u30bf\u30ea\u30f3\u30b0\u3057\u3001\u76ee\u6a19\u306e\u5024\u306b\u9054\u3057\u305f\u6642\u70b9\u3067\u89e3\u6790\u3059\u308b\u3053\u3068\u3067\u3001\u691c\u51fa\u529b\u4e0d\u8db3\u3092\u751f\u3058\u306a\u304f\u3059\u308b\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002<br \/>\n\u4e0a\u8ff0\u306e\u65b9\u6cd5\u306e\u59a5\u5f53\u6027\u306b\u306f\u6bd4\u4f8b\u30cf\u30b6\u30fc\u30c9\u6027\u304c\u6210\u7acb\u3057\u3066\u3044\u308b\u3053\u3068\u304c\u5fc5\u8981\u3068\u306a\u308a\u307e\u3059\u304c\u3001\u6700\u8fd1\u306e\u764c\u514d\u75ab\u7642\u6cd5\u306e\u81e8\u5e8a\u8a66\u9a13\u3067\u306f\u3001\u514d\u75ab\u5fdc\u7b54\u304c\u958b\u59cb\u3055\u308c\u308b\u307e\u3067\u306b\u4e00\u5b9a\u306e\u6642\u9593\u304c\u5fc5\u8981\u3067\u3042\u308a\u3001\u305d\u308c\u307e\u3067\u306f\u6cbb\u7642\u52b9\u679c\u304c\u671f\u5f85\u3067\u304d\u306a\u3044\u305f\u3081\u3001\u6bd4\u4f8b\u30cf\u30b6\u30fc\u30c9\u6027\u304c\u6210\u7acb\u3057\u3066\u3044\u306a\u3044\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u5236\u9650\u4ed8\u304d\u5e73\u5747\u751f\u5b58\u671f\u9593(RMST)\u306a\u3069\u3001\u6bd4\u4f8b\u30cf\u30b6\u30fc\u30c9\u6027\u3092\u8981\u6c42\u3057\u306a\u3044\u89e3\u6790\u6cd5\u306b\u6ce8\u76ee\u304c\u96c6\u307e\u3063\u3066\u3044\u307e\u3059\u3002RMST\u306b\u5bfe\u3057\u3066\u306f\u30a4\u30d9\u30f3\u30c8\u99c6\u52d5\u578b\u306e\u30c7\u30b6\u30a4\u30f3\u3092\u3068\u308b\u3053\u3068\u306f\u56f0\u96e3\u3067\u3001\u76ee\u6a19\u75c7\u4f8b\u6570\u306e\u8a2d\u5b9a\u306b\u306f\u3001\u691c\u51fa\u3057\u305f\u3044\u6cbb\u7642\u52b9\u679c\u4ee5\u5916\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u8a66\u9a13\u30c7\u30b6\u30a4\u30f3\u6642\u70b9\u3067\u60f3\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\u305d\u306e\u8aa4\u8a2d\u5b9a\u306f\u691c\u51fa\u529b\u306e\u4e0d\u8db3\u306b\u3064\u306a\u304c\u308a\u5f97\u307e\u3059\u3002Hattori and Uno (2025)\u3067\u306f\u3001RMST\u304a\u3088\u3073\u305d\u306e\u5171\u5909\u91cf\u8abf\u6574\u7248\u306b\u5bfe\u3057\u3066\u3001\u60f3\u5b9a\u3057\u305f\u6cbb\u7642\u52b9\u679c\u306b\u5bfe\u3059\u308b\u691c\u51fa\u529b\u3092\u4fdd\u8a3c\u3059\u308b\u76f2\u691c\u4e0b\u75c7\u4f8b\u6570\u518d\u8a08\u7b97\u306e\u65b9\u6cd5\u3092\u958b\u767a\u3057\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u3001Hattori, Maeda and Uno (2026, in revision)\u306f\u3001\u76f2\u691c\u4e0b\u306e\u30c7\u30fc\u30bf\u3092\u4e0e\u3048\u305f\u3082\u3068\u3067\u306e\u5206\u6563\u306e\u4e0a\u9650\u3092\u6570\u7406\u8a08\u753b\u6cd5\u3067\u6c42\u3081\u6700\u60aa\u306e\u72b6\u6cc1\u3067\u306e\u691c\u51fa\u529b\u3092\u5341\u5206\u306b\u78ba\u4fdd\u3059\u308b\u3053\u3068\u3067\u3053\u306e\u554f\u984c\u3092\u53d6\u308a\u6271\u3046\u3053\u3068\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u539f\u7406\u306f\u5e83\u304f\u76f2\u691c\u4e0b\u75c7\u4f8b\u6570\u518d\u8a08\u7b97\u306b\u9069\u7528\u3067\u304d\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u3088\u308a\u5e83\u7bc4\u306a\u554f\u984c\u3067\u306e\u691c\u8a0e\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Hattori S, Komukai S, Friede T (2022). Sample size calculation for the augmented logrank test in randomized clinical trials. Statistics in Medicine,2627-2644.<\/p>\n<p>Zhang J and Hattori S (2026). Event-driven type design for clinical trials with recurrent events. Submitted.<\/p>\n<p>Hattori S and Uno H (2023). On sample size determination for restricted mean survival time-based tests in randomized clinical trials. Biometrical Journal 67(2).<\/p>\n<p>Hattori S, Maeda H and Uno H (2026). Blinded sample size re-estimation for the restricted mean survival time via the worst-case variance evaluation using mathematical programming. In revision.<\/p>\n<h4>2.2 \u76f2\u691c\u4e0b\u88ab\u9a13\u8005\u6570\u518d\u8a08\u7b97<\/h4>\n<p>\u76ee\u6a19\u88ab\u9a13\u8005\u6570\u306e\u6c7a\u5b9a\u306b\u306f\u3001\u691c\u51fa\u3059\u3079\u304d\u6cbb\u7642\u52b9\u679c\u4ee5\u5916\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u4f55\u3089\u304b\u306e\u8a2d\u5b9a\u3092\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u5834\u5408\u304c\u591a\u304f\u3001\u305d\u306e\u8a2d\u5b9a\u304c\u9069\u5207\u3067\u306a\u3044\u3068\u691c\u51fa\u529b\u304c\u5341\u5206\u3067\u306a\u3044\u8a66\u9a13\u3068\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002\u305d\u308c\u3092\u56de\u907f\u3059\u308b\u305f\u3081\u306b\u3001\u6cbb\u9a13\u9014\u4e2d\u3067\u306e\u30c7\u30fc\u30bf\u3092\u5229\u7528\u3057\u3066\u76ee\u6a19\u88ab\u9a13\u8005\u6570\u3092\u5909\u66f4\u3059\u308b\u88ab\u9a13\u8005\u6570\u518d\u8a08\u7b97\u306e\u65b9\u6cd5\u304c\u4e00\u3064\u306e\u65b9\u6cd5\u3092\u4e0e\u3048\u308b\u3002\u8a66\u9a13\u306e\u59a5\u5f53\u6027\u3092\u4fdd\u8a3c\u3059\u308b\u305f\u3081\u306b\u3001\u6cbb\u9a13\u9014\u4e2d\u3067\u5272\u308a\u4ed8\u3051\u6cbb\u7642\u3092\u958b\u793a\u3057\u306a\u3044\u76f2\u691c\u4e0b\u88ab\u9a13\u8005\u6570\u518d\u8a08\u7b97\u304c\u671b\u307e\u3057\u3044\u30022.1\u306e\u5f8c\u534a\u3067\u7d39\u4ecb\u3057\u305f\u3088\u3046\u306a\u5206\u6563\u306e\u6700\u60aa\u8a55\u4fa1\u3092\u884c\u3046\u3053\u3068\u304c\u4e00\u3064\u306e\u65b9\u6cd5\u3067\u3042\u308b\u3002\u30a2\u30a6\u30c8\u30ab\u30e0\u304c\u6b63\u898f\u5909\u91cf\u306e\u5834\u5408\u3001\u5272\u308a\u4ed8\u3051\u3092\u7121\u8996\u3057\u3066\u4e21\u7fa4\u306e\u30c7\u30fc\u30bf\u3092\u30d7\u30fc\u30eb\u3057\u3066\u8a08\u7b97\u3057\u305f\u4e00\u6a19\u672c\u5206\u6563\u304c\u4e00\u3064\u306e\u5206\u6563\u306e\u4e0a\u9650\u3092\u4e0e\u3048\u308b\u3053\u3068\u304c\u5206\u304b\u3063\u3066\u3044\u308b\u304c\u3001\u7279\u306b\u5c0f\u898f\u6a21\u8a66\u9a13\u3067\u306f\u63a8\u5b9a\u8aa4\u5dee\u306e\u5f71\u97ff\u3067\u3001\u5341\u5206\u306b\u691c\u51fa\u529b\u3092\u30b3\u30f3\u30c8\u30ed\u30fc\u30eb\u3067\u304d\u306a\u3044\u3053\u3068\u304c\u77e5\u3089\u308c\u3066\u3044\u308b\u3002Maeda, Hattori and Friede (2026)\u3067\u306f\u3001\u5206\u6563\u63a8\u5b9a\u306e\u4fe1\u983c\u533a\u9593\u3092\u8003\u3048\u3001\u305d\u306e\u4fe1\u983c\u4fc2\u6570\u3092\u9069\u5207\u306b\u30b3\u30f3\u30c8\u30ed\u30fc\u30eb\u3059\u308b\u3053\u3068\u3067\u3001\u518d\u63a8\u5b9a\u3055\u308c\u305f\u88ab\u9a13\u8005\u6570\u304c\u9069\u5207\u306b\u76ee\u6a19\u306e\u691c\u51fa\u529b\u3092\u9054\u6210\u3059\u308b\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u65b9\u6cd5\u306f\u88ab\u9a13\u8005\u6570\u304c\u6975\u3081\u3066\u5c11\u306a\u3044\u5834\u5408\u306b\u3082\u6a5f\u80fd\u3057\u3001\u5e0c\u5c11\u75be\u60a3\u3092\u5bfe\u8c61\u3068\u3057\u305f\u81e8\u5e8a\u8a66\u9a13\u3067\u306e\u610f\u7fa9\u304c\u671f\u5f85\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>Maeda, Hattori and Friede (2026). Blinded sample size re-estimation accounting for uncertainty in mid-trial estimation. Submitted.<\/p>\n<h4>2.3 \u5909\u5316\u70b9\u30e2\u30c7\u30eb\u306b\u3088\u308b\u764c\u514d\u75ab\u7642\u6cd5\u81e8\u5e8a\u8a66\u9a13\u306e\u89e3\u6790<\/h4>\n<p>\u6700\u8fd1\u306e\u764c\u514d\u75ab\u7642\u6cd5\u306e\u81e8\u5e8a\u8a66\u9a13\u3067\u306f\u3001\u514d\u75ab\u5fdc\u7b54\u304c\u958b\u59cb\u3055\u308c\u308b\u307e\u3067\u306b\u4e00\u5b9a\u306e\u6642\u9593\u304c\u5fc5\u8981\u3067\u3042\u308a\u3001\u305d\u3053\u307e\u3067\u306f\u751f\u5b58\u66f2\u7dda\u304c\u4e00\u81f4\u3057\u3066\u3044\u308b\u3053\u3068\u304c\u3057\u3070\u3057\u3070\u89b3\u5bdf\u3055\u308c\u307e\u3059\u3002\u305d\u308c\u307e\u3067\u306f\u6cbb\u7642\u52b9\u679c\u304c\u306a\u304f\u6bd4\u4f8b\u30cf\u30b6\u30fc\u30c9\u6027\u304c\u6210\u7acb\u3057\u3066\u3044\u306a\u3044\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u3001\u5236\u9650\u4ed8\u304d\u5e73\u5747\u751f\u5b58\u671f\u9593(RMST)\u306a\u3069\u3001\u6bd4\u4f8b\u30cf\u30b6\u30fc\u30c9\u6027\u3092\u8981\u6c42\u3057\u306a\u3044\u6cbb\u7642\u52b9\u679c\u6307\u6a19\u306b\u95a2\u5fc3\u304c\u96c6\u307e\u3063\u3066\u3044\u307e\u3059\u3002\u3042\u308b\u6642\u70b9\u307e\u3067\u751f\u5b58\u66f2\u7dda\u304c\u91cd\u306a\u3063\u3066\u3044\u308b\u3053\u3068\u306f\u3001\u514d\u75ab\u7642\u6cd5\u306e\u6069\u6075\u3092\u53d7\u3051\u3089\u308c\u306a\u3044\u60a3\u8005\u3055\u3093\u304c\u4e00\u5b9a\u6570\u5b58\u5728\u3059\u308b\u3053\u3068\u3092\u610f\u5473\u3057\u307e\u3059\u3002RMST\u306f\u5e73\u5747\u7684\u306a\u6cbb\u7642\u52b9\u679c\u306e\u8981\u7d04\u3092\u4e0e\u3048\u307e\u3059\u304c\u3001\u3053\u306e\u3088\u3046\u306a\u75c7\u4f8b\u306e\u7279\u5fb4\u3065\u3051\u306b\u306f\u7121\u529b\u3067\u3059\u3002Sunami and Hattori (2026)\u306f\u3001\u514d\u75ab\u5fdc\u7b54\u958b\u59cb\u5f8c\u304b\u3089\u751f\u5b58\u6642\u9593\u304c\u52a0\u901f\u3055\u308c\u308b\u30bb\u30df\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u533a\u5206\u52a0\u901f\u30e2\u30c7\u30eb\u3092\u63d0\u6848\u3057\u3001\u305d\u306e\u63a8\u6e2c\u6cd5\u3092\u8b70\u8ad6\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u30e2\u30c7\u30eb\u3067\u306f\u3069\u306e\u3088\u3046\u306a\u75c7\u4f8b\u304c\u514d\u75ab\u7642\u6cd5\u306e\u6069\u6075\u3092\u53d7\u3051\u3089\u308c\u306a\u3044\u78ba\u7387\u3092\u7b97\u51fa\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u3001\u305d\u306e\u7279\u5fb4\u3065\u3051\u3092\u884c\u3046\u3053\u3068\u304c\u53ef\u80fd\u3068\u306a\u308a\u307e\u3059\u3002\u4e00\u65b9\u3067\u3001\u305d\u306e\u63a8\u6e2c\u306f\u8a08\u7b97\u8ca0\u8377\u304c\u5927\u304d\u304f\u3001\u73fe\u5728\u306f\u8a08\u7b97\u8ca0\u8377\u306e\u5c11\u306a\u3044\u30bb\u30df\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u63a8\u6e2c\u6cd5\u3092\u958b\u767a\u3057\u3066\u3044\u307e\u3059\u3002Xu and Hattori (2026)\u306f\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u30e2\u30c7\u30eb\u306e\u67a0\u7d44\u307f\u3067\u306e\u63a8\u6e2c\u306b\u3088\u308a\u3001\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u30cf\u30b6\u30fc\u30c9\u95a2\u6570\u3092\u30e2\u30c7\u30ea\u30f3\u30b0\u3057\u3066\u3044\u308b\u3082\u306e\u306e\u3001\u500b\u5225\u306e\u6cbb\u7642\u52b9\u679c\u3092\u8a31\u3059\u30e2\u30c7\u30eb\u306e\u63a8\u6e2c\u3092\u8b70\u8ad6\u3057\u3066\u3044\u307e\u3059\u3002\u6cbb\u7642\u52b9\u679c\u3092\u53d7\u3051\u3089\u308c\u306a\u3044\u78ba\u7387\u3068\u500b\u5225\u306e\u6cbb\u7642\u52b9\u679c\u306e2\u6b21\u5143\u306e\u6cbb\u7642\u52b9\u679c\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u3001\u514d\u75ab\u7642\u6cd5\u306e\u52b9\u679c\u306e\u7279\u5fb4\u3065\u3051\u3092\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u7b49\u3067\u884c\u3046\u3053\u3068\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Sunami H and Hattori S (2026). Semiparametric piecewise accelerated failure time model for immune-oncology clinical trials. Biometrics 82 ujaf171<\/p>\n<p>Xu X and Hattori S (2026). Bayesian inference of the parametric piecewise accelerated failure time models for immune-oncology. Submitted. <\/p>\n<h4>2.4 \u6297\u60aa\u6027\u816b\u760d\u306e\u65e9\u671f\u81e8\u5e8a\u8a66\u9a13\u306e\u65b9\u6cd5\u8ad6<\/h4>\n<p>\u6297\u60aa\u6027\u816b\u760d\u85ac\u306e\u81e8\u5e8a\u958b\u767a\u3067\u306f\u3001\u81e8\u5e8a\u7b2c\u4e09\u76f8\u8a66\u9a13\u3067\u306e\u5927\u898f\u6a21\u306a\u691c\u8a3c\u8a66\u9a13\u306e\u5b9f\u65bd\u524d\u306e\u65e9\u671f\u81e8\u5e8a\u8a66\u9a13\u3067\u3001\u6709\u671b\u306a\u6cbb\u7642\u6cd5\u3092\u3067\u304d\u308b\u3060\u3051\u78ba\u5b9f\u306b\u3001\u304b\u3064\u52b9\u7387\u7684\u306b\u9078\u629e\u3059\u308b\u3053\u3068\u304c\u6c42\u3081\u3089\u308c\u307e\u3059\u3002\u305d\u306e\u305f\u3081\u306e\u81e8\u5e8a\u7b2c\u4e8c\u76f8\u8a66\u9a13\u306e\u65b9\u6cd5\u3068\u3057\u3066\u3001\u30d0\u30b9\u30b1\u30c3\u30c8\u8a66\u9a13\u30c7\u30b6\u30a4\u30f3\u304c\u6ce8\u76ee\u3092\u96c6\u3081\u3066\u3044\u307e\u3059\u3002\u901a\u5e38\u306e\u81e8\u5e8a\u7b2c\u4e8c\u76f8\u8a66\u9a13\u3067\u306f\u3001\u5358\u4e00\u306e\u5316\u5408\u7269\u306e\u6297\u816b\u760d\u52b9\u679c\u3092\u5bfe\u8c61\u3068\u306a\u308b\u764c\u7a2e\u3084\u7d44\u7e54\u578b\u3092\u9650\u5b9a\u3057\u305f\u4e0a\u3067\u3001\u5358\u7fa4\u8a66\u9a13\u306b\u3066\u691c\u8a0e\u3057\u307e\u3059\u3002\u30d0\u30b9\u30b1\u30c3\u30c8\u8a66\u9a13\u30c7\u30b6\u30a4\u30f3\u3067\u306f\u3001\u8907\u6570\u306e\u764c\u7a2e\u3084\u7d44\u7e54\u578b\u306b\u5bfe\u3057\u3066\u5358\u7fa4\u8a66\u9a13\u3092\u4e26\u884c\u3057\u3066\u5b9f\u65bd\u3059\u308b\u3053\u3068\u3067\u52b9\u7387\u3092\u4e0a\u3052\u308b\u3053\u3068\u3092\u76ee\u6307\u3059\u8a66\u9a13\u30c7\u30b6\u30a4\u30f3\u3067\u3001\u5927\u304d\u306a\u95a2\u5fc3\u3092\u96c6\u3081\u3066\u3044\u307e\u3059\u3002\u764c\u7a2e\u3084\u7d44\u7e54\u578b\u306b\u3088\u3063\u3066\u306f\u8a66\u9a13\u306b\u7d44\u307f\u5165\u308c\u3089\u308c\u308b\u75c7\u4f8b\u6570\u304c\u5c11\u306a\u3044\u3053\u3068\u304b\u3089\u3001\u4e26\u884c\u306b\u5b9f\u65bd\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u5229\u7528\u3057\u3066\u3001\u7570\u306a\u308b\u764c\u7a2e\u3084\u7d44\u7e54\u578b\u3067\u306e\u7d50\u679c\u3092\u304a\u4e92\u3044\u306b\u6709\u52b9\u306b\u5229\u7528\u3059\u308b\u3053\u3068\u304c\u671b\u307e\u308c\u307e\u3059\u3002\u3053\u306e\u305f\u3081\u306e\u65b9\u6cd5\u8ad6\u304c\u591a\u304f\u958b\u767a\u3055\u308c\u3066\u304d\u307e\u3057\u305f\u304c\u3001\u305d\u306e\u307b\u3068\u3093\u3069\u304c\u30d9\u30a4\u30ba\u7d71\u8a08\u5b66\u306e\u67a0\u7d44\u307f\u3092\u7528\u3044\u3066\u3044\u307e\u3059\u3002\u30d9\u30a4\u30ba\u7d71\u8a08\u5b66\u306e\u65b9\u6cd5\u306f\u3001\u5916\u90e8\u304b\u3089\u306e\u60c5\u5831\u3092\u7d44\u307f\u8fbc\u3080\u3053\u3068\u306b\u9577\u3051\u3066\u3044\u307e\u3059\u304c\u3001\u4e00\u65b9\u3067\u3001\u7b2c\u4e00\u7a2e\u306e\u904e\u8aa4\u78ba\u7387\u306e\u5236\u5fa1\u306f\u56f0\u96e3\u3067\u3001\u5ba2\u89b3\u6027\u3092\u62c5\u4fdd\u3059\u308b\u3053\u3068\u304c\u5fc5\u305a\u3057\u3082\u5bb9\u6613\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u5358\u7fa4\u8a66\u9a13\u306f\u6b63\u78ba\u4e8c\u9805\u5206\u5e03\u306e\u3088\u308b\u691c\u5b9a\u3068\u6b63\u78ba\u4fe1\u983c\u533a\u9593\u306b\u3088\u308b\u7c21\u660e\u306a\u65b9\u6cd5\u304c\u5e83\u304f\u7528\u3044\u3089\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u305d\u306e\u5c64\u5225\u7248\u3068\u3082\u3044\u3048\u308b\u30d0\u30b9\u30b1\u30c3\u30c8\u8a66\u9a13\u3067\u306f\u8457\u3057\u304f\u8907\u96d1\u306a\u65b9\u6cd5\u306e\u63d0\u6848\u304c\u4e2d\u5fc3\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u3002Hattori and Morita (2023)\u3067\u306f\u3001\u75ab\u5b66\u7814\u7a76\u3067\u5e83\u304f\u7528\u3044\u3089\u308c\u3066\u3044\u308bMantel-Haenszel\u6cd5\u306e\u30a2\u30a4\u30c7\u30a3\u30a2\u3092\u7528\u3044\u308b\u3053\u3068\u3067\u3001\u7d14\u7c8b\u306b\u983b\u5ea6\u8ad6\u306b\u3088\u308b\u7c21\u660e\u306a\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u65b9\u6cd5\u306f\u3001\u6b63\u78ba\u691c\u5b9a\u3001Mantel-Haenszel\u578b\u63a8\u5b9a\u3001\u4e00\u822c\u5316\u60c5\u5831\u91cf\u898f\u6e96\u306b\u3088\u308b\u6709\u52b9\u306a\u30d0\u30b9\u30b1\u30c3\u30c8\u306e\u540c\u5b9a\u304b\u3089\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u3059\u3079\u3066\u306e\u65b9\u6cd5\u304c\u660e\u793a\u7684\u306a\u8868\u73fe\u3092\u6301\u3064\u7d71\u8a08\u91cf\u3067\u5b9f\u73fe\u53ef\u80fd\u3067\u3001\u6975\u3081\u3066\u7c21\u660e\u3067\u3059\u304c\u3001\u4fe1\u983c\u533a\u9593\u306e\u69cb\u6210\u306f\u6f38\u8fd1\u7406\u8ad6\u306b\u3088\u3063\u3066\u304a\u308a\u3001\u5404\u30d0\u30b9\u30b1\u30c3\u30c8\u306e\u75c7\u4f8b\u6570\u304c\u5341\u5206\u3067\u306a\u3044\u72b6\u6cc1\u3067\u306e\u6027\u8cea\u304c\u3088\u304f\u306a\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002Ohara and Hattori (in preparation)\u306f\u3001\u3053\u306e\u70b9\u3092\u89e3\u6d88\u3059\u308b\u305f\u3081\u306e\u6b63\u78ba\u4fe1\u983c\u533a\u9593\u306e\u69cb\u6210\u6cd5\u3092\u958b\u767a\u3057\u3066\u304a\u308a\u3001\u30d0\u30b9\u30b1\u30c3\u30c8\u306e\u6570\u304c\u5c0f\u3055\u304f\u3001\u5404\u30d0\u30b9\u30b1\u30c3\u30c8\u306e\u88ab\u9a13\u8005\u6570\u304c\u5927\u304d\u304f\u306a\u3044\u5834\u5408\u3067\u3082\u3001\u9069\u5207\u306a\u88ab\u8986\u78ba\u7387\u3092\u3082\u3064\u4fe1\u983c\u533a\u9593\u304c\u69cb\u6210\u53ef\u80fd\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u307e\u3057\u305f\u3002\u307e\u305f\u3001\u7af6\u5408\u7684\u306b\u7d44\u307f\u5165\u308c\u306e\u53ef\u80fd\u6027\u304c\u3042\u308b\u5834\u5408\u306b\u691c\u51fa\u529b\u3092\u4fdd\u8a3c\u3059\u308b\u88ab\u9a13\u8005\u6570\u8a08\u7b97\u6cd5\u3092\u7dda\u5f62\u8a08\u753b\u6cd5\u306e\u5fdc\u7528\u306b\u3088\u308a\u69cb\u6210\u3057\u307e\u3057\u305f\u3002Hattori and Morita (2023)\u3067\u63d0\u6848\u3057\u305f\u6709\u52b9\u30d0\u30b9\u30b1\u30c3\u30c8\u306e\u540c\u5b9a\u306e\u305f\u3081\u306e\u60c5\u5831\u91cf\u898f\u6e96\u306f\u3001\u5b64\u7acb\u30d0\u30b9\u30b1\u30c3\u30c8\u304c\u5b58\u5728\u3059\u308b\u5834\u5408\u306b\u3046\u307e\u304f\u6a5f\u80fd\u3057\u306a\u3044\u6b20\u70b9\u304c\u3042\u308b\u3053\u3068\u304c\u5224\u660e\u3057\u3001Tanaka, Ohara and Hattori (2026, in revision)\u3067\u306f\u3001\u305d\u306e\u70b9\u3092\u89e3\u6d88\u3057\u305f\u60c5\u5831\u91cf\u898f\u6e96\u306e\u63d0\u6848\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Hattori S and Morita S (2023). Frequentist analysis of basket trials with one-sample Mantel-Haenszel procedures. Statistics in Medicine 42(26), 4824-4849.<\/p>\n<p>Tanaka S, Ohara R and Hattori S (2026). Frequentist identification of effective baskets via the generalized information criteria in oncology Phase 2 trials. In revision.<\/p>\n<\/div><\/div>\n<p><!-- -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- --><\/p>\n<div class=\"lecture-article\">\n<div class=\"lecture-title-wrap\">\n<div class=\"lecture-title\">\n<h3 class=\"m_o0\">3. \u7814\u7a76\u7d71\u5408\u306e\u305f\u3081\u306e\u7d71\u8a08\u7684\u65b9\u6cd5\u8ad6<\/h3>\n<\/p><\/div>\n<div class=\"trigger\"><span><\/span><span><\/span><\/span><\/div>\n<\/p><\/div>\n<div class=\"lecture-contents\">\n<h4 class=\"m_o0\">3.1 \u751f\u5b58\u6642\u9593\u3092\u8a55\u4fa1\u9805\u76ee\u3068\u3059\u308b\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u7814\u7a76\uff08\u4e88\u5f8c\u56e0\u5b50\u7814\u7a76\uff09\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u65b9\u6cd5\u8ad6<\/h4>\n<p>\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u306a\u3069\u306e\u80cc\u666f\u56e0\u5b50\u3068\u751f\u5b58\u671f\u9593\u306e\u95a2\u9023\u3092\u8abf\u3079\u308b\u4e88\u5f8c\u56e0\u5b50\u7814\u7a76\u306f\u5e83\u304f\u884c\u308f\u308c\u3001\u75be\u60a3\u306e\u7279\u5fb4\u4ed8\u3051\u3084\u6cbb\u7642\u6a19\u7684\u306e\u63a2\u7d22\u306b\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u3066\u3044\u307e\u3059\u3002Cox\u6bd4\u4f8b\u30cf\u30b6\u30fc\u30c9\u30e2\u30c7\u30eb\u306f\u751f\u5b58\u6642\u9593\u89e3\u6790\u306e\u6a19\u6e96\u7684\u306a\u65b9\u6cd5\u3068\u3057\u3066\u5e83\u304f\u7528\u3044\u3089\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u306e\u8a55\u4fa1\u306b\u306f\u5341\u5206\u3067\u306a\u304f\u3001\u8a3a\u65ad\u6cd5\u306e\u89e3\u6790\u624b\u6cd5\u3067\u3042\u308bROC\u89e3\u6790\u3092\u751f\u5b58\u6642\u9593\u89e3\u6790\u3068\u7d50\u3073\u3064\u3051\u305f\u6642\u9593\u4f9d\u5b58\u6027ROC\u89e3\u6790\u304c\u63d0\u6848\u3055\u308c(Heagerty et al. 2000, Biometrics)\u3001\u81e8\u5e8a\u7814\u7a76\u306b\u3082\u5fdc\u7528\u3055\u308c\u3066\u304d\u3066\u3044\u307e\u3059\u3002\u6211\u3005\u306f\u80ba\u764c\u306b\u304a\u3051\u308bFDG-PET\u3068\u751f\u5b58\u6642\u9593\u3068\u306e\u95a2\u9023\u3092\u8abf\u3079\u308b\u7814\u7a76(Zaizen et al. 2012, European Journal of Radiology)\u306b\u304a\u3044\u3066\u3001\u6642\u9593\u4f9d\u5b58ROC\u89e3\u6790\u306e\u9069\u7528\u3092\u8a66\u307f\u307e\u3057\u305f\u304c\u3001\u75c7\u4f8b\u6570\u304c\u5341\u5206\u3067\u306a\u304f\u610f\u5473\u306e\u3042\u308b\u7d50\u679c\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002\u3053\u306e\u3053\u3068\u306b\u52d5\u6a5f\u4ed8\u3051\u3089\u308c\u3001Hattori and Zhou(2016)\u3067\u306f\u3001\u8ad6\u6587\u4e2d\u306b\u5831\u544a\u3055\u308c\u3066\u3044\u308b\u4e88\u5f8c\u56e0\u5b50\u7814\u7a76\u7d50\u679c\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u57fa\u3065\u3044\u3066\u6642\u9593\u4f9d\u5b58ROC\u89e3\u6790\u3092\u884c\u3046\u65b9\u6cd5\u3092\u958b\u767a\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u65b9\u6cd5\u306b\u3088\u308a\u3001\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u3088\u3063\u3066\u88ab\u9a13\u8005\u6570\u3092\u8457\u3057\u304f\u5897\u3084\u3059\u3053\u3068\u304c\u3067\u304d\u3001\u305d\u306e\u7d50\u679c\u3001\u52b9\u7387\u7684\u306b\u6642\u9593\u4f9d\u5b58\u6027ROC\u66f2\u7dda\u306e\u63a8\u6e2c\u304c\u53ef\u80fd\u3068\u306a\u308a\u307e\u3057\u305f\u3002\u3053\u306e\u65b9\u6cd5\u306f1\u5e74\u751f\u5b58\u7387\u306a\u3069\u3001\u7279\u5b9a\u306e\u56fa\u5b9a\u3057\u305f1\u6642\u70b9\u3067\u306e\u89e3\u6790\u3092\u610f\u56f3\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u5fdc\u7528\u4e0a\u306f\u591a\u6642\u70b9\u306e\u540c\u6642\u63a8\u6e2c\u304c\u91cd\u8981\u306b\u306a\u308a\u307e\u3059\u3002\u305d\u306e\u3088\u3046\u306a\u6307\u6a19\u3068\u3057\u3066\u751f\u5b58\u6642\u9593\u306b\u5bfe\u3059\u308bC-index\u306e\u7d71\u8a08\u624b\u6cd5\u304c\u6ce8\u76ee\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u6211\u3005\u306f\u3001\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u57fa\u3065\u3044\u3066\u751f\u5b58\u6642\u9593\u306b\u5bfe\u3059\u308bC-index\u3092\u63a8\u5b9a\u3059\u308b\u65b9\u6cd5\u306e\u958b\u767a\u3092\u884c\u3063\u3066\u3044\u307e\u3059(Hattori and Zhou 2021)\u3002\u95a2\u9023\u3059\u308b\u7814\u7a76\u3068\u3057\u3066\u3001Sadashima, Hattori and Takahashi (2015)\u3067\u306f\u3001ROC\u89e3\u6790\u3067\u306f\u306a\u304f\u30cf\u30b6\u30fc\u30c9\u6bd4\u306b\u57fa\u3065\u304f\u4e88\u5f8c\u56e0\u5b50\u7814\u7a76\u306e\u8981\u7d04\u306e\u65b9\u6cd5\u3092\u8b70\u8ad6\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Hattori S and Zhou XH (2016). Time-dependent summary receiver operating characteristics for meta-analyses of prognostic studies. Statistics in Medicine 35(26), 4746-4763.<\/p>\n<p>Hattori S and Zhou XH (2021). Summary concordance index for meta-analysis of prognosis studies with a survival outcome. Statistics in Medicine, 40 (24), 5218-5236.<\/p>\n<p>Sadashima E, Hattori S. and Takahashi K (2016) Meta-analysis of prognostic studies of a biomarker with a study-specific cut-off value. Research Synthesis Methods 7(4), 402\u2013419<\/p>\n<h4>3.2 \u4e88\u6e2c\u5024\u66f2\u7dda\u306b\u3088\u308b\u7814\u7a76\u7d71\u5408<\/h4>\n<p>\u524d\u7bc0\u3067\u53d6\u308a\u6271\u3063\u305f\u751f\u5b58\u6642\u9593\u30c7\u30fc\u30bf\u306e\u5834\u5408\u306b\u6bd4\u3079\u3066\u3001\u76ee\u7684\u5909\u6570\u304c\u4e8c\u5024\u3068\u306a\u308b\u8a3a\u65ad\u6cd5\u7814\u7a76\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u65b9\u6cd5\u306f\u3001\u8981\u7d04ROC\u66f2\u7dda\u306e\u65b9\u6cd5\u304c\u78ba\u7acb\u3055\u308c\u3001\u5e83\u304f\u5fdc\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u4e00\u65b9\u3067\u3001\u8981\u7d04ROC\u66f2\u7dda\u306e\u89e3\u6790\u306b\u3082\u554f\u984c\u304c\u6b8b\u3055\u308c\u3066\u3044\u307e\u3059\u3002<br \/>\nROC\u66f2\u7dda\u306f\u611f\u5ea6\u3068\u7279\u7570\u5ea6\u3059\u306a\u308f\u3061\u3001\u75be\u60a3\u306e\u72b6\u614b\u3092\u4e0e\u3048\u305f\u4e0b\u3067\u306e\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u306e\u5206\u5e03\u306b\u3088\u308b\u89e3\u6790\u3067\u3042\u308a\u3001\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u306e\u6e2c\u5b9a\u5024\u3092\u624b\u306b\u3057\u3066\u3044\u308b\u533b\u5e2b\u3084\u60a3\u8005\u306e\u610f\u601d\u6c7a\u5b9a\u306b\u76f4\u63a5\u7d50\u3073\u4ed8\u304d\u306b\u304f\u3044\u6b20\u70b9\u3092\u6709\u3057\u3066\u3044\u307e\u3059\u3002\u4e00\u65b9\u3001\u967d\u6027\u304a\u3088\u3073\u9670\u6027\u4e88\u6e2c\u5024\u306f\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u306e\u5024\u3092\u4e0e\u3048\u305f\u3082\u3068\u3067\u306e\u75be\u60a3\u306e\u78ba\u7387\u3068\u3057\u3066\u5b9a\u7fa9\u3055\u308c\u3001\u3088\u308a\u89e3\u91c8\u304c\u5bb9\u6613\u3067\u6cbb\u7642\u9078\u629e\u306b\u6709\u7528\u306a\u6982\u5ff5\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002Hattori and Zhou (2016)\u3067\u306f\u4e88\u6e2c\u5024\u306b\u5bfe\u3059\u308bROC\u66f2\u7dda\u306b\u76f8\u5f53\u3059\u308b\u4e88\u6e2c\u5024\u66f2\u7dda\u3092\u8a3a\u65ad\u6cd5\u7814\u7a76\u306e\u8ad6\u6587\u4e2d\u306e\u60c5\u5831\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u3088\u308a\u63a8\u5b9a\u3059\u308b\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u4e88\u6e2c\u5024\u66f2\u7dda\u3092\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u3088\u308a\u63a8\u5b9a\u3059\u308b\u554f\u984c\u610f\u8b58\u81ea\u4f53\u304c\u904e\u53bb\u306b\u306a\u304f\u3001\u63d0\u6848\u6cd5\u304c\u6700\u521d\u306e\u65b9\u6cd5\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Hattori S and Zhou XH (2016). Evaluation of predictive capacities of biomarkers based on research synthesis. Statistics in Medicine 35(25), 4559-4572.<\/p>\n<h4>3.3 \u6709\u5bb3\u4e8b\u8c61\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u65b9\u6cd5\u8ad6<\/h4>\n<p>\u6709\u5bb3\u4e8b\u8c61\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u306f\u69d8\u3005\u306a\u7279\u6709\u306e\u554f\u984c\u304c\u3042\u308a\u3001\u30d5\u30a9\u30ed\u30fc\u30a2\u30c3\u30d7\u671f\u9593\u306e\u4e0d\u5747\u4e00\u6027\u304c\u3057\u3070\u3057\u3070\u554f\u984c\u3068\u306a\u308a\u307e\u3059\u3002\u6297\u60aa\u6027\u816b\u760d\u85ac\u306e\u81e8\u5e8a\u8a66\u9a13\u3067\u306fProgression-free survival time (PFS)\u304c\u4e3b\u8981\u8a55\u4fa1\u9805\u76ee\u3068\u3059\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u304c\u3001\u305d\u306e\u5834\u5408\u3001\u816b\u760d\u5897\u5927\u304c\u89b3\u5bdf\u3055\u308cPFS\u304c\u78ba\u5b9a\u3059\u308b\u3068\u8a66\u9a13\u3092\u7d42\u4e86\u3057\u6709\u5bb3\u4e8b\u8c61\u306e\u30d5\u30a9\u30ed\u30fc\u30a2\u30c3\u30d7\u3092\u7d42\u3048\u308b\u3053\u3068\u304c\u901a\u5e38\u3067\u3059\u3002\u305d\u306e\u5834\u5408\u3001\u6709\u5bb3\u4e8b\u8c61\u306e\u30d5\u30a9\u30ed\u30fc\u30a2\u30c3\u30d7\u671f\u9593\u304c\u88ab\u9a13\u8005\u306b\u3088\u308a\u7570\u306a\u308b\u3053\u3068\u3068\u306a\u308a\u3001\u6709\u5bb3\u4e8b\u8c61\u306e\u767a\u73fe\u7387\u306e\u5358\u7d14\u306a\u6bd4\u8f03\u306f\u89e3\u91c8\u304c\u56f0\u96e3\u3068\u306a\u308a\u307e\u3059\u3002Kawaguchi and Hattori (2026)\u306f\u3001\u6587\u732e\u304b\u3089\u306e\u8981\u7d04\u7d71\u8a08\u91cf\u306b\u57fa\u3065\u304f\u6709\u5bb3\u4e8b\u8c61\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u304a\u3044\u3066\u3001\u30d5\u30a9\u30ed\u30fc\u30a2\u30c3\u30d7\u671f\u9593\u306e\u9055\u3044\u3092\u8003\u616e\u3059\u308b\u65b9\u6cd5\u306e\u63d0\u6848\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002\u6297\u60aa\u6027\u816b\u760d\u85ac\u306e\u81e8\u5e8a\u8a66\u9a13\u7d50\u679c\u3092\u5831\u544a\u3059\u308b\u8ad6\u6587\u3067\u306f\u3001\u5168\u751f\u5b58\u671f\u9593(OS)\u3042\u308b\u3044\u306fPFS\u306a\u3069\u306e\u6709\u52b9\u6027\u306e\u4e3b\u8981\u8a55\u4fa1\u9805\u76ee\u306e\u7d50\u679c\u3092Kaplan-Meier\u6cd5\u306b\u3088\u308a\u30b0\u30e9\u30d5\u30a3\u30ab\u30eb\u306b\u5831\u544a\u3059\u308b\u3053\u3068\u304c\u3088\u304f\u884c\u308f\u308c\u307e\u3059\u3002Kawaguchi and Hattori (2026)\u306f\u3001\u3053\u306e\u6709\u52b9\u6027\u306e\u7d50\u679c\u304c\u6709\u5bb3\u4e8b\u8c61\u306e\u30d5\u30a9\u30ed\u30fc\u30a2\u30c3\u30d7\u671f\u9593\u306e\u60c5\u5831\u3092\u4e0e\u3048\u308b\u3068\u898b\u306a\u3057\u3001\u6709\u5bb3\u4e8b\u8c61\u767a\u73fe\u307e\u3067\u306e\u671f\u9593\u306e\u7d2f\u7a4d\u30a4\u30f3\u30b7\u30c7\u30f3\u30b9\u95a2\u6570\u3092\u6587\u732e\u304b\u3089\u306e\u60c5\u5831\u304b\u3089\u63a8\u5b9a\u3057\u6bd4\u8f03\u3059\u308b\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u7d2f\u7a4d\u30a4\u30f3\u30b7\u30c7\u30f3\u30b9\u95a2\u6570\u306b\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u30e2\u30c7\u30eb\u3092\u60f3\u5b9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3082\u306e\u306e\u3001\u30d5\u30a9\u30ed\u30fc\u30a2\u30c3\u30d7\u671f\u9593\u3092\u8003\u616e\u3057\u305f\u6709\u5bb3\u4e8b\u8c61\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u305f\u3081\u306e\u6700\u521d\u306e\u65b9\u6cd5\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Kawaguchi S and Hattori S (2026). Literature-based meta-analysis of adverse events accounting for heterogeneous follow-up duration in oncology clinical trials. Research Synthesis Methods, accepted. <\/p>\n<\/div><\/div>\n<p><!-- -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n---------------------------------------------------------------------------------------------------------------------\n---------------------------------------------------------------------------------------------------------------------\n---------------------------------------------------------------------------------------------------------------------\n------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- --><\/p>\n<div class=\"lecture-article\">\n<div class=\"lecture-title-wrap\">\n<div class=\"lecture-title\">\n<h3 class=\"m_o0\">4. \u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u304a\u3051\u308b\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u8a55\u4fa1\u6cd5<\/h3>\n<\/p><\/div>\n<div class=\"trigger\"><span><\/span><span><\/span><\/span><\/div>\n<\/p><\/div>\n<div class=\"lecture-contents\">\n<h4 class=\"m_o0\">4.1 \u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u3092\u5229\u7528\u3057\u305f\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u8a55\u4fa1\u6cd5<\/h4>\n<p>\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u3092\u5229\u7528\u3057\u305f\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u8a55\u4fa1\u81e8\u5e8a\u8a66\u9a13\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u304a\u3051\u308b\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u554f\u984c\u306a\u3069\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306b\u3001Clinicaltrials.gov\u3001WHO International Clinical Trials Registry Platform (ICTRP)\u306a\u3069\u3001\u8907\u6570\u306e\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u304c\u5229\u7528\u53ef\u80fd\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u30022004\u5e74\u306b\u4e3b\u8981\u533b\u5b66\u96d1\u8a8c\u306e\u7de8\u96c6\u8005\u304b\u3089\u306a\u308b\u56fd\u969b\u533b\u5b66\u96d1\u8a8c\u7de8\u96c6\u8005\u59d4\u54e1\u4f1a(International Committee of Medical Journal Editors; ICMJE)\u306f\u3001\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u4e8b\u524d\u767b\u9332\u3092\u81e8\u5e8a\u8a66\u9a13\u7d50\u679c\u306e\u3053\u308c\u3089\u306e\u5b66\u8853\u8a8c\u304b\u3089\u306e\u51fa\u7248\u306e\u6761\u4ef6\u3068\u3059\u308b\u5171\u540c\u58f0\u660e\u3092\u767a\u51fa\u3057\u3001\u305d\u306e\u7d50\u679c\u767b\u9332\u304c\u52a0\u901f\u3055\u308c\u307e\u3057\u305f\u3002\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u672a\u516c\u8868\u7814\u7a76\u306e\u691c\u7d22\u306b\u6709\u52b9\u3067\u3042\u308b\u304c\u3001\u73fe\u5728\u306e\u3068\u3053\u308d\u3001\u691c\u5bdf\u30c4\u30fc\u30eb\u3068\u3057\u3066\u306e\u5229\u7528\u304c\u307b\u3068\u3093\u3069\u3067\u3042\u308a\u3001\u81a8\u5927\u306a\u767b\u9332\u60c5\u5831\u3092\u7d71\u8a08\u89e3\u6790\u306b\u3044\u304b\u306b\u5229\u7528\u3059\u308b\u304b\u306f\u8b70\u8ad6\u3055\u308c\u3066\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002Huang, Komukai, Friede and Hattori (2021)\u306f\u3001\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306b\u5bfe\u3059\u308b\u611f\u5ea6\u89e3\u6790\u6cd5\u3067\u3042\u308bCopas\u9078\u629e\u30e2\u30c7\u30eb\u306e\u63a8\u6e2c\u6cd5\u306b\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u306b\u767b\u9332\u3055\u308c\u3066\u3044\u308b\u60c5\u5831\u3092\u5229\u7528\u3057\u305f\u3001\u3088\u308a\u5b89\u5b9a\u3057\u305f\u63a8\u5b9a\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002<br \/>\n\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u554f\u984c\u306f\u3001\u672c\u6765\u5b58\u5728\u3059\u308b\u7814\u7a76\u7d50\u679c\u304c\u5229\u7528\u53ef\u80fd\u3067\u306a\u3044\u3053\u3068\u304b\u3089\u3001\u3042\u308b\u7a2e\u306e\u6b20\u6e2c\u5024\u306e\u554f\u984c\u3068\u898b\u306a\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3057\u304b\u3057\u306a\u304c\u3089\u3001\u901a\u5e38\u306e\u6b20\u6e2c\u5024\u306e\u554f\u984c\u3068\u7570\u306a\u308a\u3001\u5b8c\u5168\u30c7\u30fc\u30bf\u304c\u3069\u306e\u3088\u3046\u306a\u69cb\u9020\u304b\u304c\u5206\u304b\u3089\u305a\u3001\u901a\u5e38\u306e\u6b20\u6e2c\u5024\u306e\u554f\u984c\u3068\u5927\u304d\u304f\u7570\u306a\u308b\u9762\u304c\u3042\u308a\u307e\u3059\u3002\u5b9f\u969b\u3001\u7528\u3044\u3089\u308c\u3066\u3044\u308b\u65b9\u6cd5\u306f\u3001\u901a\u5e38\u306e\u6b20\u6e2c\u5024\u306b\u5bfe\u5fdc\u3059\u308b\u65b9\u6cd5\u3068\u306f\u5927\u304d\u304f\u7570\u306a\u3063\u3066\u3044\u307e\u3059\u3002\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u306e\u5229\u7528\u306f\u3001\u5b8c\u5168\u30c7\u30fc\u30bf\u304c\u3069\u306e\u3088\u3046\u306a\u3082\u306e\u304b\u3092\u6c7a\u5b9a\u3057\u3066\u3044\u308b\u3053\u3068\u306b\u76f8\u5f53\u3057\u3001\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u554f\u984c\u304c\u901a\u5e38\u306e\u6b20\u6e2c\u30c7\u30fc\u30bf\u89e3\u6790\u306e\u65b9\u6cd5\u3067\u53d6\u308a\u6271\u3048\u308b\u3053\u3068\u3092\u793a\u5506\u3057\u307e\u3059\u3002\u3053\u306e\u7406\u89e3\u306b\u57fa\u3065\u3044\u3066\u3001Huang, Morikawa, Friede and Hattori (2023)\u3067\u306f\u3001\u6b20\u6e2c\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u3067\u5e83\u304f\u7528\u3044\u3089\u308c\u3066\u3044\u308b\u9006\u78ba\u7387\u91cd\u307f\u4ed8\u3051\u6cd5(IPW\u6cd5)\u306b\u3088\u308a\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u4fee\u6b63\u3092\u884c\u3046\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u65b9\u6cd5\u3092\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3078\u62e1\u5f35\u3059\u308b\u7814\u7a76\u3092\u9032\u3081\u3066\u3044\u307e\u3059 (Huang, Zhou and Hattori 2026)\u3002\n<\/p>\n<p>Huang A, Komukai S, Friede T, Hattori S (2021). Using clinical trial registries to inform Copas selection model for publication bias in meta-analysis. Research Synthesis Methods, 12(5), 658\u2013673.<\/p>\n<p>Huang A, Morikawa K, Friede T, Hattori S (2023) Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries. Biometrics 79(3), 2089-2102. <\/p>\n<p>Huang A, Zhou Y, Maeda H and Hattori S (2026). Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries. Submitted.<\/p>\n<h4 class=\"m_o0\">4.2 \u7a00\u306a\u30a4\u30d9\u30f3\u30c8\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u304a\u3051\u308b\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306b\u5bfe\u3059\u308b\u611f\u5ea6\u89e3\u6790\u6cd5<\/h4>\n<p>\u6b63\u898f\u8fd1\u4f3c\u306b\u57fa\u3065\u304fNormal-Normal(NN)\u30e2\u30c7\u30eb\u3092\u5bfe\u8c61\u3068\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u767a\u73fe\u7387\u306e\u4f4e\u3044\u4e8c\u5024\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u306fNN\u30e2\u30c7\u30eb\u306e\u4e0d\u9069\u5207\u6027\u304c\u6307\u6458\u3055\u308c\u3066\u304a\u308a\u3001\u4e00\u822c\u7dda\u5f62\u6df7\u5408\u30e2\u30c7\u30eb\u306b\u57fa\u3065\u304f\u6b63\u78ba\u5c24\u5ea6\u306b\u3088\u308b\u65b9\u6cd5\u304c\u63a8\u5968\u3055\u305b\u307e\u3059\u3002Hu, Zhou and Hattori (2025)\u3067\u306f\u3001\u3053\u306e\u3088\u3046\u306a\u30b9\u30d1\u30fc\u30b9\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u304a\u3051\u308b\u3001t-\u7d71\u8a08\u91cf\u578b\u9078\u629e\u95a2\u6570\u306b\u57fa\u3065\u304f\u611f\u5ea6\u89e3\u6790\u306e\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u65b9\u6cd5\u306ft-\u7d71\u8a08\u91cf\u578b\u9078\u629e\u95a2\u6570\u3092\u6271\u3048\u308b\u3082\u306e\u306e\u3001\u8a08\u7b97\u8ca0\u8377\u304c\u5927\u304d\u3044\u6b20\u70b9\u3092\u6709\u3057\u3066\u3044\u307e\u3059\u3002Zhou, Hu et al. (2026)\u306f\u3001\u7a00\u306a\u4e8b\u8c61\u306e\u5834\u5408\u306bHeckman\u578b\u9078\u629e\u95a2\u6570\u306b\u3088\u308b\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u8a55\u4fa1\u3092\u53ef\u80fd\u3068\u3059\u308b\u6700\u521d\u306e\u65b9\u6cd5\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Hu T, Zhou Y and Hattori S (2025). Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood. Biometrics 80(3).<\/p>\n<p>Zhou Y, Hu T, Sakamoto Y, Huang A Zhou Xiao-Hua and Hattori S (2026). Copas-Heckman-type sensitivity analysis for publication bias in rate event meta-analysis under generalized linear mixed models. In revision.<\/p>\n<h4 class=\"m_o0\">4.3 \u8a3a\u65ad\u6cd5\u7814\u7a76\u306b\u304a\u3051\u308b\u8981\u7d04ROC\u66f2\u7dda\u306b\u5bfe\u3059\u308b\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u8a55\u4fa1<\/h4>\n<p>\u533b\u5b66\u7814\u7a76\u3067\u306f\u3001\u826f\u597d\u306a\u7d50\u679c\u304c\u5f97\u3089\u308c\u305f\u7814\u7a76\u304c\u8ad6\u6587\u3068\u3057\u3066\u51fa\u7248\u3055\u308c\u3084\u3059\u304f\u3001\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u306f\u305d\u306e\u3088\u3046\u306a\u504f\u3063\u305f\u30b5\u30f3\u30d7\u30eb\u3092\u5bfe\u8c61\u3068\u3057\u3066\u89e3\u6790\u3092\u305b\u3056\u308b\u3092\u306a\u3044\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002\u3053\u306e\u3088\u3046\u306a\u5834\u5408\u306b\u306f\u89e3\u6790\u7d50\u679c\u306b\u504f\u308a(\u30d0\u30a4\u30a2\u30b9)\u304c\u3042\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u3053\u306e\u3088\u3046\u306a\u30d0\u30a4\u30a2\u30b9\u306f\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u3068\u547c\u3070\u308c\u3066\u3044\u307e\u3059\u3002\u901a\u5e38\u306e\u6cbb\u7642\u52b9\u679c\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u306ffunnel plot, trim-and-fill\u6cd5\u306a\u3069\u306e\u7c21\u660e\u306a\u65b9\u6cd5\u304c\u5e83\u304f\u7528\u3044\u3089\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u8981\u7d04ROC\u66f2\u7dda\u306b\u5bfe\u3057\u3066\u306f\u3053\u308c\u3089\u306e\u65b9\u6cd5\u306f\u9069\u7528\u304c\u3067\u304d\u307e\u305b\u3093\u3002Hattori and Zhou(2018)\u3067\u306f\u3001\u8981\u7d04ROC\u66f2\u7dda\u306e\u63a8\u5b9a\u306b\u3069\u306e\u7a0b\u5ea6\u306e\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u5f71\u97ff\u304c\u751f\u3058\u3048\u308b\u304b\u3092\u898b\u7a4d\u3082\u308b\u611f\u5ea6\u89e3\u6790\u6cd5\u3068\u547c\u3070\u308c\u308b\u65b9\u6cd5\u3092\u958b\u767a\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u307e\u3067\u8981\u7d04ROC\u66f2\u7dda\u306b\u5bfe\u3059\u308b\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u5f71\u97ff\u3092\u8a55\u4fa1\u3059\u308b\u65b9\u6cd5\u306f\u7686\u7121\u3067\u3001\u63d0\u6848\u3057\u305f\u65b9\u6cd5\u304c\u6700\u521d\u306e\u63d0\u6848\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u3002Hattori and Zhou(2018)\u306e\u65b9\u6cd5\u306f\u3001Heckman\u578b\u9078\u629e\u95a2\u6570\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3059\u3002\u5b9f\u969b\u306e\u8a3a\u65ad\u6cd5\u7814\u7a76\u3067\u306f\u3001\u8a66\u9a13\u6bce\u306b\u30ab\u30c3\u30c8\u30aa\u30d5\u5024\u3092\u8a2d\u5b9a\u3057\u3066\u3001\u611f\u5ea6\u3084\u7279\u7570\u5ea6\u3092\u5831\u544a\u3059\u308b\u3053\u3068\u304c\u3057\u3070\u3057\u3070\u884c\u308f\u308c\u307e\u3059\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u51fa\u7248\u3055\u308c\u308b\u304b\u5426\u304b\u3082\u30ab\u30c3\u30c8\u30aa\u30d5\u5024\u306b\u4f9d\u5b58\u3059\u308b\u3068\u8003\u3048\u308b\u65b9\u304c\u81ea\u7136\u306b\u306a\u308a\u307e\u3059\u3002\u3057\u304b\u3057\u306a\u304c\u3089\u3001Heckman\u578b\u306e\u9078\u629e\u95a2\u6570\u3067\u306f\u3053\u306e\u3088\u3046\u306a\u72b6\u6cc1\u306f\u30e2\u30c7\u30eb\u5316\u3067\u304d\u306a\u3044\u6b20\u70b9\u304c\u3042\u308a\u307e\u3059\u3002Zhou, Huang and Hattori (2023)\u3067\u306f\u3001\u611f\u5ea6\u3084\u7279\u7570\u5ea6\u306b\u5bfe\u3059\u308b\u691c\u5b9a\u7d71\u8a08\u91cf\u306b\u4f9d\u5b58\u3057\u3066\u51fa\u7248\u3055\u308c\u3084\u3059\u3055\u304c\u6c7a\u307e\u308b\u3088\u3046\u306at-\u7d71\u8a08\u91cf\u578b\u9078\u629e\u95a2\u6570\u306b\u57fa\u3065\u304f\u611f\u5ea6\u89e3\u6790\u306e\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002Hu et al. (2026)\u306f\u3001\u767a\u73fe\u7387\u304c\u7a00\u306a\u5834\u5408\u306bt\u7d71\u8a08\u91cf\u578b\u9078\u629e\u95a2\u6570\u9078\u629e\u95a2\u6570\u304c\u6271\u3048\u308b\u65b9\u6cd5\u3092\u958b\u767a\u3057\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u3001Zhou, Huang and Hattori (2025)\u306f\u30013.1\u3067\u7d39\u4ecb\u3057\u305f\u6642\u9593\u4f9d\u5b58\u6027\u8981\u7d04ROC\u66f2\u7dda\u306e\u5834\u5408\u3078\u306e\u62e1\u5f35\u3092\u4e0e\u3048\u3001\u6642\u9593\u4f9d\u5b58\u6027ROC\u66f2\u7dda\u306b\u5bfe\u3059\u308b\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u8a55\u4fa1\u3092\u53ef\u80fd\u3068\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>Hattori S and Zhou XH (2018). Sensitivity analysis for publication bias of diagnostic studies for a continuous biomarker. Statistics in Medicine 37(3), 327-342.<\/p>\n<p>Zhou Y, Huang A, Hattori S (2023). A likelihood-based sensitivity analysis for publication bias on the summary ROC in meta-analysis of diagnostic test accuracy. Statistics in Medicine, 42, 781-798.<\/p>\n<p>Hu T, Zhou Y, Zhou Xiao-Hua and Hattori S (2026). Sensitivity analysis for publication bias in diagnostic meta-analysis of sparsity using the Copas t-statistic selection function. Statistics in Medicine, accepted.<\/p>\n<p>Zhou Y, Huang A and Hattori S (2025). Sensitivity analysis for reporting bias on the time-dependent summary receiver operating characteristics curve in meta-analysis of prognosis studies with time-to-event outcomes.<br \/>\nResearch Synthesis Methods. accepted.<\/p>\n<\/div><\/div>\n<div class=\"lecture-article\">\n<div class=\"lecture-title-wrap\">\n<div class=\"lecture-title\">\n<h3 class=\"m_o0\">5. \u764c\u767b\u9332\u30c7\u30fc\u30bf\u306e\u751f\u5b58\u6642\u9593\u89e3\u6790\u6cd5<\/h3>\n<\/p><\/div>\n<div class=\"trigger\"><span><\/span><span><\/span><\/span><\/div>\n<\/p><\/div>\n<div class=\"lecture-contents\">\n<p>\u6cd5\u6574\u5099\u306b\u57fa\u3065\u304d\u5168\u3066\u306e\u90fd\u9053\u5e9c\u770c\u3067\u764c\u767b\u9332\u304c\u306a\u3055\u308c\u308b\u3053\u3068\u3068\u306a\u308a\u3001\u305d\u306e\u30c7\u30fc\u30bf\u3092\u6709\u52b9\u6d3b\u7528\u3059\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u764c\u767b\u9332\u751f\u5b58\u671f\u9593\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u6cd5\u3068\u3057\u3066\u306fPoher-Perme\u63a8\u5b9a\u91cf(Poher-Perme et al. 2012, Biometrics)\u304c\u6a19\u6e96\u7684\u306a\u65b9\u6cd5\u3068\u3057\u3066\u53d7\u3051\u5165\u308c\u3089\u308c\u3066\u304d\u3066\u3044\u307e\u3059\u304c\u3001\u6253\u3061\u5207\u308a\u304c\u751f\u5b58\u671f\u9593\u3068\u7121\u95a2\u4fc2\u3068\u3044\u3046\u72ec\u7acb\u6253\u3061\u5207\u308a\u3092\u4eee\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002\u5b9f\u969b\u306e\u764c\u767b\u9332\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u306b\u304a\u3044\u3066\u306f\u3001\u6253\u3061\u5207\u308a\u304c\u60a3\u8005\u80cc\u666f(\u5171\u5909\u91cf)\u306b\u4f9d\u5b58\u3059\u308b\u5171\u5909\u91cf\u4f9d\u5b58\u6253\u3061\u5207\u308a\u304c\u554f\u984c\u3068\u306a\u308a\u3001\u6253\u3061\u5207\u308a\u3068\u5171\u5909\u91cf\u306e\u95a2\u9023\u306e\u30e2\u30c7\u30eb\u5316\u306b\u3088\u308b\u65b9\u6cd5(wPP\u6cd5)\u3042\u308b\u3044\u306f\u751f\u5b58\u671f\u9593\u3068\u5171\u5909\u91cf\u306e\u95a2\u9023\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u65b9\u6cd5(OR\u6cd5)\u304c\u65e2\u5b58\u306e\u65b9\u6cd5\u3068\u3057\u3066\u5229\u7528\u53ef\u80fd\u3067\u3057\u305f\u3002\u3057\u304b\u3057\u306a\u304c\u3089\u3001\u305d\u308c\u305e\u308c\u30e2\u30c7\u30ea\u30f3\u30b0\u304c\u9069\u5207\u306b\u306a\u3055\u308c\u308b\u3053\u3068\u304c\u59a5\u5f53\u306a\u63a8\u6e2c\u306b\u5fc5\u8981\u3068\u306a\u308a\u3001\u305d\u306e\u90e8\u5206\u306e\u4e0d\u78ba\u5b9f\u6027\u304c\u3064\u304d\u307e\u3068\u3044\u307e\u3059\u3002Komukai and Hattori (2017)\u3067\u306f\u3001\u4e21\u8005\u306e\u65b9\u6cd5\u3092\u7d44\u307f\u5408\u308f\u305b\u3001\u3044\u305a\u308c\u304b\u306e\u30e2\u30c7\u30eb\u5316\u304c\u9069\u5207\u3067\u3042\u308c\u3070\u59a5\u5f53\u306a\u63a8\u6e2c\u3092\u4e0e\u3048\u308b\u4e8c\u91cd\u9811\u5065\u63a8\u5b9a\u91cf\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u65b9\u6cd5\u306f\u30cd\u30c3\u30c8\u751f\u5b58\u6642\u9593\u3068\u3044\u3046\u6982\u5ff5\u306e\u63a8\u5b9a\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u304c\u3001\u764c\u767b\u9332\u30c7\u30fc\u30bf\u89e3\u6790\u306b\u304a\u3051\u308b\u3082\u3046\u4e00\u3064\u306e\u91cd\u8981\u306a\u6982\u5ff5\u3068\u3057\u3066\u76f8\u5bfe\u751f\u5b58\u6bd4\u304c\u3042\u308a\u3001\u75ab\u5b66\u7814\u7a76\u306b\u304a\u3044\u3066\u5e83\u304f\u7528\u3089\u308c\u3066\u3044\u307e\u3059\u3002Komukai and Hattori (2020)\u3067\u306f\u3001\u540c\u69d8\u306e\u30a2\u30a4\u30c7\u30a3\u30a2\u306b\u3088\u308a\u3001\u5171\u5909\u91cf\u4f9d\u5b58\u6253\u3061\u5207\u308a\u306e\u4e0b\u3067\u76f8\u5bfe\u751f\u5b58\u6bd4\u306b\u5bfe\u3059\u308b\u4e8c\u91cd\u9811\u5065\u63a8\u5b9a\u91cf\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3055\u3089\u306b\u3001\u305d\u306e\u63a8\u6e2c\u306e\u524d\u63d0\u3092\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u78ba\u8a8d\u3059\u308b\u4e8c\u91cd\u9811\u5065\u691c\u5b9a\u624b\u6cd5\u3092\u5c0e\u5165\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>Komukai S and Hattori S (2017) Doubly robust estimators for net survival rates in analyses of cancer registry data. Biometrics 73(1), 124-133<\/p>\n<p>Komukai S and Hattori S (2020) Doubly robust inference procedure for relative survival ratio in population-based cancer registry data. Statistics in Medicine 39, 1884-1900<\/p>\n<p>\u3053\u308c\u3089\u306e\u65b9\u6cd5\u306f\u30b3\u30db\u30fc\u30c8\u306b\u5bfe\u3059\u308b\u5e73\u5747\u7684\u306a\u91cf\u306b\u5bfe\u3059\u308b\u63a8\u6e2c\u6cd5\u3067\u3059\u304c\u3001\u56de\u5e30\u5206\u6790\u3082\u764c\u767b\u9332\u30c7\u30fc\u30bf\u89e3\u6790\u3067\u306f\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u307e\u3059\u3002Perme, Henderson and Store (2009, Biostatistics)\u306f\u3001\u30cd\u30c3\u30c8\u751f\u5b58\u306b\u5bfe\u3059\u308bCox\u6bd4\u4f8b\u30cf\u30b6\u30fc\u30c9\u30e2\u30c7\u30eb\u3092\u8003\u3048\u3001\u30bb\u30df\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30afEM\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u3088\u308b\u63a8\u5b9a\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3057\u304b\u3057\u306a\u304c\u3089\u3001\u305d\u306e\u7406\u8ad6\u7684\u6027\u8cea\u306f\u89e3\u660e\u3055\u308c\u3066\u304d\u3066\u304a\u3089\u305a\u3001\u4e8c\u91cd\u9811\u5065\u63a8\u5b9a\u306a\u3069\u306b\u5229\u7528\u3059\u308b\u969b\u306e\u969c\u5bb3\u3068\u306a\u3063\u3066\u3044\u307e\u3057\u305f\u3002Komukai and Hattori (2023)\u306f\u3001\u3053\u306e\u65b9\u6cd5\u304c\u30bb\u30df\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u6709\u52b9\u63a8\u5b9a\u3092\u4e0e\u3048\u308b\u3053\u3068\u3092\u793a\u3057\u3001\u305d\u306e\u7d71\u8a08\u63a8\u8ad6\u306e\u7406\u8ad6\u7684\u59a5\u5f53\u6027\u3092\u793a\u3057\u307e\u3057\u305f\u3002<\/p>\n<p>Komukai S and Hattori S. Asymptotic justification of maximum likelihood estimation for the proportional excess hazard model in analysis of cancer registry data. Japanese J of Statistics and Data Science 6(1), 337-359.<\/p>\n<\/div><\/div>\n<p><!-- ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\n---------------------------------------------------------------------------------------------------------------------\n---------------------------------------------------------------------------------------------------------------------\n---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- --\n\n\n            <!-- \n\n<div class=\"lecture-article\">\n              \n\n<div class=\"lecture-title-wrap\">\n                \n\n<div class=\"lecture-title\">\n                  \n\n<h3 class=\"m_o0\">1.\u751f\u5b58\u6642\u9593\u89e3\u6790\u6cd5<\/h3>\n\n\n                <\/div>\n\n\n                \n\n<div class=\"trigger\"><span><\/span><span><\/span><\/div>\n\n\n              <\/div>\n\n\n              \n\n<div class=\"lecture-contents\">\n                \n\n<p>\u6cd5\u6574\u5099\u306b\u57fa\u3065\u304d\u5168\u3066\u306e\u90fd\u9053\u5e9c\u770c\u3067\u764c\u767b\u9332\u304c\u306a\u3055\u308c\u308b\u3053\u3068\u3068\u306a\u308a\u3001\u305d\u306e\u30c7\u30fc\u30bf\u3092\u6709\u52b9\u6d3b\u7528\u3059\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u764c\u767b\u9332\u751f\u5b58\u671f\u9593\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u6cd5\u3068\u3057\u3066\u306fPoher-Perme\u63a8\u5b9a\u91cf(Poher-Perme et al. 2012, Biometrics)\u304c\u6a19\u6e96\u7684\u306a\u65b9\u6cd5\u3068\u3057\u3066\u53d7\u3051\u5165\u308c\u3089\u308c\u3066\u304d\u3066\u3044\u307e\u3059\u304c\u3001\u6253\u3061\u5207\u308a\u304c\u751f\u5b58\u671f\u9593\u3068\u7121\u95a2\u4fc2\u3068\u3044\u3046\u72ec\u7acb\u6253\u3061\u5207\u308a\u3092\u4eee\u5b9a\u3057\u3066\u3044\u307e\u3059\u3002\u5b9f\u969b\u306e\u764c\u767b\u9332\u30c7\u30fc\u30bf\u306e\u89e3\u6790\u306b\u304a\u3044\u3066\u306f\u3001\u6253\u3061\u5207\u308a\u304c\u60a3\u8005\u80cc\u666f(\u5171\u5909\u91cf)\u306b\u4f9d\u5b58\u3059\u308b\u5171\u5909\u91cf\u4f9d\u5b58\u6253\u3061\u5207\u308a\u304c\u554f\u984c\u3068\u306a\u308a\u3001\u6253\u3061\u5207\u308a\u3068\u5171\u5909\u91cf\u306e\u95a2\u9023\u306e\u30e2\u30c7\u30eb\u5316\u306b\u3088\u308b\u65b9\u6cd5(wPP\u6cd5)\u3042\u308b\u3044\u306f\u751f\u5b58\u671f\u9593\u3068\u5171\u5909\u91cf\u306e\u95a2\u9023\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u65b9\u6cd5(OR\u6cd5)\u304c\u65e2\u5b58\u306e\u65b9\u6cd5\u3068\u3057\u3066\u5229\u7528\u53ef\u80fd\u3067\u3057\u305f\u3002\u3057\u304b\u3057\u306a\u304c\u3089\u3001\u305d\u308c\u305e\u308c\u30e2\u30c7\u30ea\u30f3\u30b0\u304c\u9069\u5207\u306b\u306a\u3055\u308c\u308b\u3053\u3068\u304c\u59a5\u5f53\u306a\u63a8\u6e2c\u306b\u5fc5\u8981\u3068\u306a\u308a\u3001\u305d\u306e\u90e8\u5206\u306e\u4e0d\u78ba\u5b9f\u6027\u304c\u3064\u304d\u307e\u3068\u3044\u307e\u3059\u3002Komukai and Hattori (2017, Biometrics)\u3067\u306f\u3001\u4e21\u8005\u306e\u65b9\u6cd5\u3092\u7d44\u307f\u5408\u308f\u305b\u3001\u3044\u305a\u308c\u304b\u306e\u30e2\u30c7\u30eb\u5316\u304c\u9069\u5207\u3067\u3042\u308c\u3070\u59a5\u5f53\u306a\u63a8\u6e2c\u3092\u4e0e\u3048\u308b\u4e8c\u91cd\u9811\u5065\u63a8\u5b9a\u91cf\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u65b9\u6cd5\u306f\u30cd\u30c3\u30c8\u751f\u5b58\u6642\u9593\u3068\u3044\u3046\u6982\u5ff5\u306e\u63a8\u5b9a\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u304c\u3001\u764c\u767b\u9332\u30c7\u30fc\u30bf\u89e3\u6790\u306b\u304a\u3051\u308b\u3082\u3046\u4e00\u3064\u306e\u91cd\u8981\u306a\u6982\u5ff5\u3068\u3057\u3066\u76f8\u5bfe\u751f\u5b58\u6bd4\u304c\u3042\u308a\u3001\u75ab\u5b66\u7814\u7a76\u306b\u304a\u3044\u3066\u5e83\u304f\u7528\u3089\u308c\u3066\u3044\u3089\u3066\u3044\u307e\u3059\u3002Komukai and Hattori (2020, Statistics in Medicine)\u3067\u306f\u3001\u540c\u69d8\u306e\u30a2\u30a4\u30c7\u30a3\u30a2\u306b\u3088\u308a\u3001\u5171\u5909\u91cf\u4f9d\u5b58\u6253\u3061\u5207\u308a\u306e\u4e0b\u3067\u76f8\u5bfe\u751f\u5b58\u6bd4\u306b\u5bfe\u3059\u308b\u4e8c\u91cd\u9811\u5065\u63a8\u5b9a\u91cf\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3055\u3089\u306b\u3001\u305d\u306e\u63a8\u6e2c\u306e\u524d\u63d0\u3092\u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u78ba\u8a8d\u3059\u308b\u4e8c\u91cd\u9811\u5065\u691c\u5b9a\u624b\u6cd5\u3092\u5c0e\u5165\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n                \n\n<p>\u4e0a\u8a18\u306e\u65b9\u6cd5\u3082\u542b\u3081\u3001\u764c\u767b\u9332\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u624b\u6cd5\u306f\u4e00\u822c(\u975e\u764c)\u6bcd\u96c6\u56e3\u306b\u5bfe\u3059\u308b\u751f\u547d\u8868\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u5229\u7528\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u308c\u304c\u764c\u75c7\u4f8b\u306e\u975e\u816b\u760d\u95a2\u9023\u6b7b\u4ea1\u7387\u3092\u3088\u304f\u8fd1\u4f3c\u3059\u308b\u3053\u3068\u304c\u89e3\u6790\u306e\u524d\u63d0\u306b\u306a\u308a\u307e\u3059\u304c\u3001\u5b9f\u969b\u306b\u306f\u4e00\u822c\u6bcd\u96c6\u56e3\u751f\u547d\u8868\u306b\u306f\u764c\u75c7\u4f8b\u304c\u542b\u307e\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u6b7b\u4ea1\u7387\u306e\u7b97\u51fa\u306b\u306f\u816b\u760d\u95a2\u9023\u6b7b\u4ea1\u3082\u542b\u3093\u3067\u3044\u307e\u3059\u3002\u3053\u306e\u5f71\u97ff\u3092\u8003\u616e\u3057\u305f\u7d71\u8a08\u89e3\u6790\u6cd5\u306e\u7814\u7a76\u3092\u884c\u3063\u3066\u3044\u307e\u3059(Komukai, Rachet and Hattori, in preparation)\u3002<\/p>\n\n\n              <\/div>\n\n\n            <\/div>\n\n\n            \n\n<div class=\"lecture-article\">\n              \n\n<div class=\"lecture-title-wrap\">\n                \n\n<div class=\"lecture-title\">\n                  \n\n<h3 class=\"m_o0\">2.\u89b3\u5bdf\u7814\u7a76\u306b\u304a\u3051\u308b\u4ea4\u7d61\u56e0\u5b50\u306e\u8abf\u6574\u6cd5<\/h3>\n\n\n                <\/div>\n\n\n                \n\n<div class=\"trigger\"><span><\/span><span><\/span><\/div>\n\n\n              <\/div>\n\n\n              \n\n<div class=\"lecture-contents\">\n                \n\n<h4 class=\"m_o0\">2.1 \u591a\u91cd\u9811\u5065\u63a8\u6e2c\u6cd5<\/h4>\n\n\n                \n\n<p>\u7121\u4f5c\u70ba\u5316\u7814\u7a76\u306f\u3082\u3063\u3068\u3082\u4fe1\u983c\u5ea6\u306e\u9ad8\u3044\u7814\u7a76\u65b9\u6cd5\u3068\u3057\u3066\u53d7\u3051\u5165\u308c\u3089\u308c\u3001\u81e8\u5e8a\u533b\u5b66\u306e\u767a\u5c55\u306b\u5927\u304d\u304f\u8ca2\u732e\u3057\u3066\u3044\u307e\u3059\u3002\u4e00\u65b9\u3067\u3001\u8cbb\u7528\u9762\u3084\u502b\u7406\u7684\u306a\u9762\u3067\u7121\u4f5c\u70ba\u5316\u7814\u7a76\u306e\u5b9f\u65bd\u304c\u56f0\u96e3\u306a\u5834\u5408\u3082\u898b\u3089\u308c\u3001\u65e2\u5b58\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306a\u3069\u306e\u89b3\u5bdf\u7814\u7a76\u306e\u6709\u52b9\u6d3b\u7528\u306e\u91cd\u8981\u6027\u304c\u9ad8\u307e\u3063\u3066\u304d\u3066\u3044\u307e\u3059\u3002\u89b3\u5bdf\u7814\u7a76\u306b\u304a\u3044\u3066\u306f\u3001\u4ea4\u7d61\u56e0\u5b50\u306e\u5f71\u97ff\u3092\u9069\u5207\u306b\u8abf\u6574\u3059\u308b\u3053\u3068\u304c\u5fc5\u8981\u3068\u306a\u308a\u3001\u76ee\u7684\u5909\u6570\u3068\u5171\u5909\u91cf\u306e\u95a2\u9023\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u57fa\u3065\u304f\u65b9\u6cd5(OR)\u3084\u3001\u50be\u5411\u30b9\u30b3\u30a2\u3001\u3059\u306a\u308f\u3061\u3001\u5171\u5909\u91cf\u3068\u6cbb\u7642\u9078\u629e\u306e\u95a2\u9023\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306b\u3088\u308b\u65b9\u6cd5\u304c\u5229\u7528\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u3089\u306e\u65b9\u6cd5\u3067\u4ea4\u7d61\u56e0\u5b50\u3092\u9069\u5207\u306b\u8abf\u6574\u3059\u308b\u306b\u306f\u3001\u305d\u308c\u305e\u308c\u306e\u95a2\u9023\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u304c\u9069\u5207\u3067\u3042\u308b\u3053\u3068\u304c\u5fc5\u8981\u3068\u306a\u308a\u307e\u3059\u3002\u3053\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u4e0d\u78ba\u5b9f\u6027\u3092\u8efd\u6e1b\u3059\u308b\u76ee\u7684\u3067\u3001OR\u3068\u50be\u5411\u30b9\u30b3\u30a2\u306b\u3088\u308b\u91cd\u307f\u4ed8\u3051\u63a8\u5b9a\u6cd5\u306e\u4e21\u8005\u3092\u7d44\u307f\u5408\u308f\u305b\u3001\u3044\u305a\u308c\u304b\u306e\u5c11\u306a\u304f\u3068\u3082\u4e00\u65b9\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u304c\u9069\u5207\u3067\u3042\u308c\u3070\u4ea4\u7d61\u56e0\u5b50\u306e\u5f71\u97ff\u304c\u9069\u5207\u306b\u8abf\u6574\u3067\u304d\u308b\u3001\u4e8c\u91cd\u9811\u5065\u63a8\u5b9a\u6cd5\u304c\u6ce8\u76ee\u3092\u96c6\u3081\u3066\u3044\u307e\u3059\u3002Hattori and Henmi (2014, Biometrics)\u3067\u306f\u3001\u66f4\u306b\u50be\u5411\u30b9\u30b3\u30a2\u306b\u3088\u308b\u5c64\u5225\u89e3\u6790\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u3053\u3068\u3067\u3001\u50be\u5411\u30b9\u30b3\u30a2\u306e\u30e2\u30c7\u30eb\u3068\u3057\u3066\u8907\u6570\u306e\u30e2\u30c7\u30eb\u3092\u8a31\u5bb9\u3059\u308b\u5c64\u5225\u89e3\u6790\u306e\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u3088\u3046\u306a\u8907\u6570\u306e\u5019\u88dc\u306e\u30e2\u30c7\u30eb\u3092\u8a31\u5bb9\u3059\u308b\u65b9\u6cd5\u8ad6\u306f\u591a\u91cd\u9811\u5065\u63a8\u5b9a\u3068\u547c\u3070\u308c\u3001\u30e2\u30c7\u30eb\u9078\u629e\u3068\u306f\u7570\u306a\u308b\u30d1\u30e9\u30c0\u30a4\u30e0\u306b\u3088\u308b\u65b0\u3057\u3044\u7d71\u8a08\u7684\u63a8\u6e2c\u306e\u67a0\u7d44\u307f\u3068\u8003\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u5148\u884c\u7814\u7a76\u3067\u306f\u7d4c\u9a13\u5c24\u5ea6\u6cd5\u306b\u57fa\u3065\u304f\u591a\u91cd\u9811\u5065\u63a8\u5b9a\u91cf\u304c\u63d0\u6848\u3055\u308c\u3066\u304d\u307e\u3057\u305f\u304c(Han and Wang 2013, Biometrika)\u3001\u3053\u306e\u65b9\u6cd5\u306f\u50be\u5411\u30b9\u30b3\u30a2\u306e\u91cd\u307f\u4ed8\u304d\u63a8\u5b9a\u306b\u76f8\u5f53\u3057\u3066\u304a\u308a\u3001\u6211\u3005\u306e\u65b9\u6cd5\u306f\u3088\u308a\u9811\u5065\u306a\u5c64\u5225\u89e3\u6790\u3092\u7d44\u307f\u8fbc\u3093\u3067\u3044\u308b\u7279\u5fb4\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002Nomura and Hattori (2018, Communications in Statistics, Simulation and Computation)\u3067\u306f\u3001\u7d14\u7c8b\u306b\u50be\u5411\u30b9\u30b3\u30a2\u306e\u5c64\u5225\u89e3\u6790\u306b\u57fa\u3065\u3044\u3066\u3001\u50be\u5411\u30b9\u30b3\u30a2\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u306e\u8aa4\u7279\u5b9a\u306b\u5bfe\u3057\u3066\u975e\u5e38\u306b\u9811\u5065\u3067\u304b\u3064\u7c21\u660e\u306a\u591a\u91cd\u9811\u5065\u63a8\u5b9a\u91cf\u3092\u63d0\u6848\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n                \n\n<h4>2.2 \u9ad8\u5ea6\u306a\u56e0\u679c\u63a8\u8ad6\u624b\u6cd5\u306e\u9069\u7528\u306b\u3088\u308b\u89b3\u5bdf\u7814\u7a76\u306e\u89e3\u6790<\/h4>\n\n\n                \n\n<p>\u7dcf\u52d9\u7701\u6d88\u9632\u5e81\u306e\u5168\u56fd\u9662\u5916\u5fc3\u505c\u6b62\u60a3\u8005\u767b\u9332\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u306f\u3001\u56fd\u969b\u7684\u306b\u7d71\u4e00\u3055\u308c\u305f\u30a6\u30c4\u30bf\u30a4\u30f3\u69d8\u5f0f\u306b\u57fa\u3065\u3044\u3066\u53ce\u96c6\u3055\u308c\u3001\u6551\u547d\u6551\u6025\u58eb\u306b\u3088\u308b\u533b\u7642\u884c\u70ba\u306b\u95a2\u3059\u308b\u69d8\u3005\u306a\u7814\u7a76\u306b\u6709\u52b9\u6d3b\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u9662\u5916\u5fc3\u80ba\u505c\u6b62\u75c7\u4f8b\u306b\u5bfe\u3057\u3066\u6551\u547d\u6551\u6025\u58eb\u306b\u3088\u3063\u3066\u5b9f\u65bd\u3055\u308c\u308b\u6cbb\u7642\u306e\u6709\u52b9\u6027\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306b\u901a\u5e38\u306e\u50be\u5411\u30b9\u30b3\u30a2\u3092\u7528\u3044\u305f\u89e3\u6790\u304c\u983b\u7e41\u306b\u5b9f\u65bd\u3055\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u5fc3\u80ba\u505c\u6b62\u75c7\u4f8b\u306b\u5bfe\u3057\u3066\u306e\u307f\u5b9f\u65bd\u53ef\u80fd\u3067\u3042\u308b\u9ad8\u5ea6\u306a\u6cbb\u7642\u306e\u6709\u52b9\u6027\u3092\u8a55\u4fa1\u3059\u308b\u969b\u306b\u306f\u901a\u5e38\u306e\u50be\u5411\u30b9\u30b3\u30a2\u3092\u4f7f\u7528\u3057\u305f\u89e3\u6790\u3067\u306f\u5bfe\u5fdc\u3067\u304d\u306a\u3044\u30d0\u30a4\u30a2\u30b9\u306e\u5b58\u5728\u304c\u6307\u6458\u3055\u308c\u3066\u3044\u307e\u3059(Andersen, Grossestreuer, and Donnino. 2018, Resuscitation)\u3002\u3059\u306a\u308f\u3061\u3001\u6cbb\u7642\u4ecb\u5165\u75c7\u4f8b\u306f\u305d\u306e\u6642\u70b9\u307e\u3067\u5fc3\u80ba\u505c\u6b62\u72b6\u614b\u306e\u75c7\u4f8b\u306b\u9650\u3089\u308c\u3001\u72b6\u614b\u306e\u60aa\u3044\u75c7\u4f8b\u307b\u3069\u4ecb\u5165\u3092\u53d7\u3051\u3084\u3059\u304f\u306a\u308b\u305f\u3081\u3001\u7d50\u679c\u3068\u3057\u3066\u4ecb\u5165\u52b9\u679c\u3092\u904e\u5c0f\u8a55\u4fa1\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u306f\u8607\u751f\u6642\u9593\u30d0\u30a4\u30a2\u30b9(\u4e00\u822c\u7684\u306a\u75ab\u5b66\u7814\u7a76\u3067\u306f\u3001\u4e0d\u6b7b\u30d0\u30a4\u30a2\u30b9)\u3068\u547c\u3070\u308c\u3001\u75ab\u5b66\u7814\u7a76\u3067\u91cd\u8981\u8996\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30d0\u30a4\u30a2\u30b9\u306b\u5bfe\u3057\u3066\u3001\u6642\u9593\u4f9d\u5b58\u5171\u5909\u91cf\u3092\u4f34\u3046Cox\u56de\u5e30\u30e2\u30c7\u30eb\u306b\u3088\u308b\u6642\u9593\u4f9d\u5b58\u50be\u5411\u30b9\u30b3\u30a2\u3068risk-set matching\u3092\u7d44\u307f\u5408\u308f\u305b\u308b\u3053\u3068\u3067\u3001\u4ecb\u5165\u7fa4\u3068\u975e\u4ecb\u5165\u7fa4\u306e\u8607\u751f\u6642\u9593\u306e\u5206\u5e03\u306e\u504f\u308a\u3092\u8abf\u6574\u3059\u308b\u65b9\u6cd5\u304c\u63d0\u6848\u3055\u308c\u3066\u3044\u307e\u3059(Lu 2005, Biometrics)\u3002\u6211\u3005\u306f\u5b9f\u969b\u306e\u9662\u5916\u5fc3\u80ba\u505c\u6b62\u60a3\u8005\u767b\u9332\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u89e3\u6790\u306b\u304a\u3044\u3066\u3001\u3053\u306e\u9ad8\u5ea6\u306a\u56e0\u679c\u63a8\u8ad6\u624b\u6cd5\u3092\u5fdc\u7528\u3057\u3001\u8607\u751f\u6642\u9593\u30d0\u30a4\u30a2\u30b9\u3092\u8003\u616e\u3057\u305f\u4e0b\u3067\u3001\u6551\u547d\u6551\u6025\u58eb\u306b\u3088\u308b\u6cbb\u7642\u306e\u5e73\u5747\u56e0\u679c\u52b9\u679c\u3092\u8a55\u4fa1\u3057\u305f\u7d50\u679c\u3092\u8907\u6570\u5831\u544a\u3057\u3066\u3044\u307e\u3059(Izawa, Komukai, Gibo et al. 2019, BMJ; Okubo, Komukai, Izawa et al. 2019, Resuscitation; Matsuyama, Komukai, Izawa et al. 2020, J. Am. Coll. Cardiol.)\u3002\u3053\u308c\u3089\u306e\u7d50\u679c\u306f\u3001\u8607\u751f\u6642\u9593\u30d0\u30a4\u30a2\u30b9\u3092\u8003\u616e\u3059\u308b\u3053\u3068\u3067\u3001\u901a\u5e38\u306e\u50be\u5411\u30b9\u30b3\u30a2\u3092\u7528\u3044\u305f\u89e3\u6790\u3068\u7570\u306a\u308b\u7d50\u679c\u304c\u793a\u3055\u308c\u308b\u306a\u3069\u3001\u9662\u5916\u5fc3\u505c\u6b62\u60a3\u8005\u306e\u8607\u751f\u7387\u5411\u4e0a\u306e\u305f\u3081\u306e\u30a8\u30d3\u30c7\u30f3\u30b9\u3068\u3057\u3066\u3001\u56fd\u969b\u5fc3\u80ba\u8607\u751f\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u306e\u6539\u5b9a\u306b\u3082\u5927\u304d\u306a\u5f71\u97ff\u3092\u4e0e\u3048\u308b\u3068\u671f\u5f85\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n              <\/div>\n\n\n            <\/div>\n\n\n            \n\n<div class=\"lecture-article\">\n              \n\n<div class=\"lecture-title-wrap\">\n                \n\n<div class=\"lecture-title\">\n                  \n\n<h3 class=\"m_o0\">3. \u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u65b9\u6cd5\u8ad6<\/h3>\n\n\n                <\/div>\n\n\n                \n\n<div class=\"trigger\"><span><\/span><span><\/span><\/div>\n\n\n              <\/div>\n\n\n              \n\n<div class=\"lecture-contents\">\n                \n\n<h4 class=\"m_o0\">3.1. \u751f\u5b58\u6642\u9593\u3092\u8a55\u4fa1\u9805\u76ee\u3068\u3059\u308b\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u7814\u7a76(\u4e88\u5f8c\u56e0\u5b50\u7814\u7a76)\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u65b9\u6cd5\u8ad6<\/h4>\n\n\n                \n\n<p>\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u306a\u3069\u306e\u80cc\u666f\u56e0\u5b50\u3068\u751f\u5b58\u671f\u9593\u306e\u95a2\u9023\u3092\u8abf\u3079\u308b\u4e88\u5f8c\u56e0\u5b50\u7814\u7a76\u306f\u5e83\u304f\u884c\u308f\u308c\u3001\u75be\u60a3\u306e\u7279\u5fb4\u4ed8\u3051\u3084\u6cbb\u7642\u6a19\u7684\u306e\u63a2\u7d22\u306b\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u3066\u3044\u307e\u3059\u3002Cox\u6bd4\u4f8b\u30cf\u30b6\u30fc\u30c9\u30e2\u30c7\u30eb\u306f\u751f\u5b58\u6642\u9593\u89e3\u6790\u306e\u6a19\u6e96\u7684\u306a\u65b9\u6cd5\u3068\u3057\u3066\u5e83\u304f\u7528\u3044\u3089\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u306e\u8a55\u4fa1\u306b\u306f\u5341\u5206\u3067\u306a\u304f\u3001\u8a3a\u65ad\u6cd5\u306e\u89e3\u6790\u624b\u6cd5\u3067\u3042\u308bROC\u89e3\u6790\u3092\u751f\u5b58\u6642\u9593\u89e3\u6790\u3068\u7d50\u3073\u3064\u3051\u305f\u6642\u9593\u4f9d\u5b58\u6027ROC\u89e3\u6790\u304c\u63d0\u6848\u3055\u308c(Heagerty et al. 2000, Biometrics)\u3001\u81e8\u5e8a\u7814\u7a76\u306b\u3082\u5fdc\u7528\u3055\u308c\u3066\u304d\u3066\u3044\u307e\u3059\u3002\u6211\u3005\u306f\u80ba\u764c\u306b\u304a\u3051\u308bFDG-PET\u3068\u751f\u5b58\u6642\u9593\u3068\u306e\u95a2\u9023\u3092\u8abf\u3079\u308b\u7814\u7a76(Zaizen et al. 2012, European Journal of Radiology)\u306b\u304a\u3044\u3066\u3001\u6642\u9593\u4f9d\u5b58ROC\u89e3\u6790\u306e\u9069\u7528\u3092\u8a66\u307f\u307e\u3057\u305f\u304c\u3001\u75c7\u4f8b\u6570\u304c\u5341\u5206\u3067\u306a\u304f\u610f\u5473\u306e\u3042\u308b\u7d50\u679c\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002\u3053\u306e\u3053\u3068\u306b\u52d5\u6a5f\u4ed8\u3051\u3089\u308c\u3001Hattori and Zhou(2016, Statistics in Medicine)\u3067\u306f\u3001\u8ad6\u6587\u4e2d\u306b\u5831\u544a\u3055\u308c\u3066\u3044\u308b\u4e88\u5f8c\u56e0\u5b50\u7814\u7a76\u7d50\u679c\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u57fa\u3065\u3044\u3066\u6642\u9593\u4f9d\u5b58ROC\u89e3\u6790\u3092\u884c\u3046\u65b9\u6cd5\u3092\u958b\u767a\u3057\u307e\u3057\u305f\u3002\u3053\u306e\u65b9\u6cd5\u306b\u3088\u308a\u3001\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u3088\u3063\u3066\u88ab\u9a13\u8005\u6570\u3092\u8457\u3057\u304f\u5897\u3084\u3059\u3053\u3068\u304c\u3067\u304d\u3001\u305d\u306e\u7d50\u679c\u3001\u52b9\u7387\u7684\u306b\u6642\u9593\u4f9d\u5b58\u6027ROC\u66f2\u7dda\u306e\u63a8\u6e2c\u304c\u53ef\u80fd\u3068\u306a\u308a\u307e\u3057\u305f\u3002\u3053\u306e\u65b9\u6cd5\u306f1\u5e74\u751f\u5b58\u7387\u306a\u3069\u3001\u7279\u5b9a\u306e\u56fa\u5b9a\u3057\u305f1\u6642\u70b9\u3067\u306e\u89e3\u6790\u3092\u610f\u56f3\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u5fdc\u7528\u4e0a\u306f\u591a\u6642\u70b9\u306e\u540c\u6642\u63a8\u6e2c\u304c\u91cd\u8981\u306b\u306a\u308a\u307e\u3059\u3002\u305d\u306e\u3088\u3046\u306a\u6307\u6a19\u3068\u3057\u3066\u751f\u5b58\u6642\u9593\u306b\u5bfe\u3059\u308bC-index\u306e\u7d71\u8a08\u624b\u6cd5\u304c\u6ce8\u76ee\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u6211\u3005\u306f\u3001\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u57fa\u3065\u3044\u3066\u751f\u5b58\u6642\u9593\u306b\u5bfe\u3059\u308bC-index\u3092\u63a8\u5b9a\u3059\u308b\u65b9\u6cd5\u306e\u958b\u767a\u3092\u884c\u3063\u3066\u3044\u307e\u3059(Hattori and Zhou, in preparation)\u3002<\/p>\n\n\n                \n\n<p>\u95a2\u9023\u3059\u308b\u7814\u7a76\u3068\u3057\u3066\u3001Sadashima, Hattori and Takahashi (2015, Research Synthesis Methods)\u3067\u306f\u3001ROC\u89e3\u6790\u3067\u306f\u306a\u304f\u30cf\u30b6\u30fc\u30c9\u6bd4\u306b\u57fa\u3065\u304f\u4e88\u5f8c\u56e0\u5b50\u7814\u7a76\u306e\u8981\u7d04\u306e\u65b9\u6cd5\u3092\u8b70\u8ad6\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n                \n\n<h4>3.2.\u8a3a\u65ad\u6cd5\u7814\u7a76\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u65b9\u6cd5\u8ad6<\/h4>\n\n\n                \n\n<p>\u524d\u7bc0\u3067\u53d6\u308a\u6271\u3063\u305f\u751f\u5b58\u6642\u9593\u30c7\u30fc\u30bf\u306e\u5834\u5408\u306b\u6bd4\u3079\u3066\u3001\u76ee\u7684\u5909\u6570\u304c\u4e8c\u5024\u3068\u306a\u308b\u8a3a\u65ad\u6cd5\u7814\u7a76\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u65b9\u6cd5\u306f\u3001\u8981\u7d04ROC\u66f2\u7dda\u306e\u65b9\u6cd5\u304c\u78ba\u7acb\u3055\u308c\u3001\u5e83\u304f\u5fdc\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u4e00\u65b9\u3067\u3001\u8981\u7d04ROC\u66f2\u7dda\u306e\u89e3\u6790\u306b\u3082\u554f\u984c\u304c\u6b8b\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n                \n\n<p>ROC\u66f2\u7dda\u306f\u611f\u5ea6\u3068\u7279\u7570\u5ea6\u3059\u306a\u308f\u3061\u3001\u75be\u60a3\u306e\u72b6\u614b\u3092\u4e0e\u3048\u305f\u4e0b\u3067\u306e\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u306e\u5206\u5e03\u306b\u3088\u308b\u89e3\u6790\u3067\u3042\u308a\u3001\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u306e\u6e2c\u5b9a\u5024\u3092\u624b\u306b\u3057\u3066\u3044\u308b\u533b\u5e2b\u3084\u60a3\u8005\u306e\u610f\u601d\u6c7a\u5b9a\u306b\u76f4\u63a5\u7d50\u3073\u4ed8\u304d\u306b\u304f\u3044\u6b20\u70b9\u3092\u6709\u3057\u3066\u3044\u307e\u3059\u3002\u4e00\u65b9\u3001\u967d\u6027\u304a\u3088\u3073\u9670\u6027\u4e88\u6e2c\u5024\u306f\u30d0\u30a4\u30aa\u30de\u30fc\u30ab\u30fc\u306e\u5024\u3092\u4e0e\u3048\u305f\u3082\u3068\u3067\u306e\u75be\u60a3\u306e\u78ba\u7387\u3068\u3057\u3066\u5b9a\u7fa9\u3055\u308c\u3001\u3088\u308a\u89e3\u91c8\u304c\u5bb9\u6613\u3067\u6cbb\u7642\u9078\u629e\u306b\u6709\u7528\u306a\u6982\u5ff5\u3068\u8003\u3048\u3089\u308c\u307e\u3059\u3002Hattori and Zhou (2016, Statistics in Medicine)\u3067\u306f\u4e88\u6e2c\u5024\u306b\u5bfe\u3059\u308bROC\u66f2\u7dda\u306b\u76f8\u5f53\u3059\u308b\u4e88\u6e2c\u5024\u66f2\u7dda\u3092\u8a3a\u65ad\u6cd5\u7814\u7a76\u306e\u8ad6\u6587\u4e2d\u306e\u60c5\u5831\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u3088\u308a\u63a8\u5b9a\u3059\u308b\u65b9\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f\u3002\u4e88\u6e2c\u5024\u66f2\u7dda\u3092\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u3088\u308a\u63a8\u5b9a\u3059\u308b\u554f\u984c\u610f\u8b58\u81ea\u4f53\u304c\u904e\u53bb\u306b\u306a\u304f\u3001\u63d0\u6848\u6cd5\u304c\u6700\u521d\u306e\u65b9\u6cd5\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n                \n\n<p>\u533b\u5b66\u7814\u7a76\u3067\u306f\u3001\u826f\u597d\u306a\u7d50\u679c\u304c\u5f97\u3089\u308c\u305f\u7814\u7a76\u304c\u8ad6\u6587\u3068\u3057\u3066\u51fa\u7248\u3055\u308c\u3084\u3059\u304f\u3001\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u306f\u305d\u306e\u3088\u3046\u306a\u504f\u3063\u305f\u30b5\u30f3\u30d7\u30eb\u3092\u5bfe\u8c61\u3068\u3057\u3066\u89e3\u6790\u3092\u305b\u3056\u308b\u3092\u306a\u3044\u3053\u3068\u306b\u306a\u308a\u307e\u3059\u3002\u3053\u306e\u3088\u3046\u306a\u5834\u5408\u306b\u306f\u89e3\u6790\u7d50\u679c\u306b\u504f\u308a(\u30d0\u30a4\u30a2\u30b9)\u304c\u3042\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u3053\u306e\u3088\u3046\u306a\u30d0\u30a4\u30a2\u30b9\u306f\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u3068\u547c\u3070\u308c\u3066\u3044\u307e\u3059\u3002\u901a\u5e38\u306e\u6cbb\u7642\u52b9\u679c\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u306ffunnel plot, trim-and-fill\u6cd5\u306a\u3069\u306e\u7c21\u660e\u306a\u65b9\u6cd5\u304c\u5e83\u304f\u7528\u3044\u3089\u308c\u3066\u3044\u307e\u3059\u304c\u3001\u8981\u7d04ROC\u66f2\u7dda\u306b\u5bfe\u3057\u3066\u306f\u3053\u308c\u3089\u306e\u65b9\u6cd5\u306f\u9069\u7528\u304c\u3067\u304d\u307e\u305b\u3093\u3002Hattori and Zhou(2018, Statistics in Medicine)\u3067\u306f\u3001\u8981\u7d04ROC\u66f2\u7dda\u306e\u63a8\u5b9a\u306b\u3069\u306e\u7a0b\u5ea6\u306e\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u5f71\u97ff\u304c\u751f\u3058\u3048\u308b\u304b\u3092\u898b\u7a4d\u3082\u308b\u611f\u5ea6\u89e3\u6790\u6cd5\u3068\u547c\u3070\u308c\u308b\u65b9\u6cd5\u3092\u958b\u767a\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u307e\u3067\u8981\u7d04ROC\u66f2\u7dda\u306b\u5bfe\u3059\u308b\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u5f71\u97ff\u3092\u8a55\u4fa1\u3059\u308b\u65b9\u6cd5\u306f\u7686\u7121\u3067\u3001\u63d0\u6848\u3057\u305f\u65b9\u6cd5\u304c\u6700\u521d\u306e\u63d0\u6848\u3092\u4e0e\u3048\u3066\u3044\u307e\u3059\u3002Hattori and Zhou(2018, Statistics in Medicine)\u306e\u65b9\u6cd5\u306f\u3001\u516c\u8868\u3055\u308c\u3084\u3059\u3055\u3092\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u30e2\u30c7\u30eb\u3067\u30e2\u30c7\u30eb\u5316\u3057\u305f\u65b9\u6cd5\u3092\u898b\u306a\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u304c\u3001\u8a3a\u65ad\u6cd5\u7814\u7a76\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u306f\u3069\u306e\u3088\u3046\u306a\u8981\u56e0\u3067\u516c\u8868\u3055\u308c\u308b\u304b\u5426\u304b\u306e\u63a8\u5bdf\u304c\u6975\u3081\u3066\u56f0\u96e3\u3067\u3001\u60f3\u5b9a\u3057\u3066\u3044\u308b\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u30e2\u30c7\u30eb\u306e\u9069\u5207\u6027\u306b\u5bfe\u3059\u308b\u7591\u5ff5\u304c\u6b8b\u3063\u3066\u3057\u307e\u3044\u307e\u3059\u3002\u3088\u308a\u4eee\u5b9a\u306b\u4f9d\u5b58\u3057\u306a\u3044\u30ce\u30f3\u30d1\u30e9\u30e1\u30c8\u30ea\u30c3\u30af\u611f\u5ea6\u89e3\u6790\u306e\u65b9\u6cd5\u306e\u7814\u7a76\u3092\u9032\u3081\u3066\u3044\u307e\u3059(Henmi, Hattori and Copas, in preparation)\u3002<\/p>\n\n\n                \n\n<h4>3.3.\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u3092\u5229\u7528\u3057\u305f\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u8a55\u4fa1\u6cd5<\/h4>\n\n\n                \n\n<p>\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u3092\u5229\u7528\u3057\u305f\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u8a55\u4fa1\u81e8\u5e8a\u8a66\u9a13\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u304a\u3051\u308b\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306e\u554f\u984c\u306a\u3069\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306b\u3001Clinicaltrials.gov\u3001WHO International Clinical Trials Registry Platform (ICTRP)\u306a\u3069\u3001\u8907\u6570\u306e\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u304c\u5229\u7528\u53ef\u80fd\u3068\u306a\u3063\u3066\u3044\u307e\u3059\u30022004\u5e74\u306b\u4e3b\u8981\u533b\u5b66\u96d1\u8a8c\u306e\u7de8\u96c6\u8005\u304b\u3089\u306a\u308b\u56fd\u969b\u533b\u5b66\u96d1\u8a8c\u7de8\u96c6\u8005\u59d4\u54e1\u4f1a(International Committee of Medical Journal Editors; ICMJE)\u306f\u3001\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u3078\u306e\u4e8b\u524d\u767b\u9332\u3092\u81e8\u5e8a\u8a66\u9a13\u7d50\u679c\u306e\u3053\u308c\u3089\u306e\u5b66\u8853\u8a8c\u304b\u3089\u306e\u51fa\u7248\u306e\u6761\u4ef6\u3068\u3059\u308b\u5171\u540c\u58f0\u660e\u3092\u767a\u51fa\u3057\u3001\u305d\u306e\u7d50\u679c\u767b\u9332\u304c\u52a0\u901f\u3055\u308c\u307e\u3057\u305f\u3002\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u306f\u3001\u672a\u516c\u8868\u7814\u7a76\u306e\u691c\u7d22\u306b\u6709\u52b9\u3067\u3042\u308b\u304c\u3001\u73fe\u5728\u306e\u3068\u3053\u308d\u3001\u691c\u5bdf\u30c4\u30fc\u30eb\u3068\u3057\u3066\u306e\u5229\u7528\u304c\u307b\u3068\u3093\u3069\u3067\u3042\u308a\u3001\u81a8\u5927\u306a\u767b\u9332\u60c5\u5831\u3092\u7d71\u8a08\u89e3\u6790\u306b\u3044\u304b\u306b\u5229\u7528\u3059\u308b\u304b\u306f\u8b70\u8ad6\u3055\u308c\u3066\u304d\u307e\u305b\u3093\u3067\u3057\u305f\u3002\u6211\u3005\u306f\u3001\u516c\u8868\u30d0\u30a4\u30a2\u30b9\u306b\u5bfe\u3059\u308b\u611f\u5ea6\u89e3\u6790\u6cd5\u3067\u3042\u308bCopas\u9078\u629e\u30e2\u30c7\u30eb\u306e\u63a8\u6e2c\u6cd5\u306b\u81e8\u5e8a\u8a66\u9a13\u767b\u9332\u30b7\u30b9\u30c6\u30e0\u306b\u767b\u9332\u3055\u308c\u3066\u3044\u308b\u60c5\u5831\u3092\u5229\u7528\u3057\u305f\u3001\u3088\u308a\u5b89\u5b9a\u3057\u305f\u63a8\u5b9a\u6cd5\u3092\u63d0\u6848\u3057\u307e\u3057\u305f(Ao, Komukai, Fried and Hattori, in preparation)\u3002<\/p>\n\n\n              <\/div>\n\n\n            <\/div>\n\n --><\/p>\n<h3>\u7814\u7a76\u5b9f\u7e3e<\/h3>\n<div class=\"trigger\" id=\"tab01\"><\/div>\n<div class=\"trigger\" id=\"tab02\"><\/div>\n<div class=\"trigger\" id=\"tab03\"><\/div>\n<div class=\"trigger\" id=\"tab04\"><\/div>\n<div class=\"trigger\" id=\"tab05\"><\/div>\n<div class=\"trigger\" id=\"tab06\"><\/div>\n<div class=\"trigger\" id=\"tab07\"><\/div>\n<div class=\"trigger\" id=\"tab08\"><\/div>\n<div class=\"trigger\" id=\"tab09\"><\/div>\n<div class=\"trigger\" id=\"tab10\"><\/div>\n<ul class=\"tabBtn clearfix\">\n<li><a href=\"#tab01\">2026\u5e74<\/a><\/li>\n<li><a href=\"#tab02\">2025\u5e74<\/a><\/li>\n<li><a href=\"#tab03\">2024\u5e74<\/a><\/li>\n<li><a href=\"#tab04\">2023\u5e74<\/a><\/li>\n<li><a href=\"#tab05\">2022\u5e74<\/a><\/li>\n<li><a href=\"#tab06\">2021\u5e74<\/a><\/li>\n<li><a href=\"#tab07\">2020\u5e74<\/a><\/li>\n<li><a href=\"#tab08\">2019\u5e74<\/a><\/li>\n<li><a href=\"#tab09\">2018\u5e74<\/a><\/li>\n<li><a href=\"#tab10\">2017\u5e74<\/a><\/li>\n<\/ul>\n<div class=\"tabContents\">\n<div class=\"content\">\n<h3 class=\"m_o0\">2026\u5e74<\/h3>\n<ul>\n<li>Sunami H, Hattori S. Semiparametric piecewise accelerated failure time model for immune-oncology clinical trials. Biometrics 82 (1), ujaf171, 2026.<\/li>\n<\/ul><\/div>\n<div class=\"content\">\n<h3 class=\"m_o0\">2025\u5e74<\/h3>\n<ul>\n<li>Kaneda E, Koguchi-Yoshioka H, Nimura K, Hattori S, Ishino S, Fujimoto M, Wataya-Kaneda M. Genotype-phenotype correlation for skin and neuropsychiatric features in tuberous sclerosis complex. British Journal of Dermatology. Online ahead of print. DOI: 10.1093\/bjd\/ljaf038. 2025<\/li>\n<li>Yachida S, Yoshinaga S, Shiba S, Urabe M, Tanaka H, Takeda Y, Shimizu A,  Sakamoto Y, Hijioka S, Haba S, Ashida R, Kushiyama Y, Asano K, Kobayashi M, Murawaki Y, Onishi K, Yamashita T, Kimura H, Totoki Y, Kamada H, Isomoto H, Hattori S, Morizane C, Ohkawa K, Kitano M, Hara K, Ikezawa K, Hanada K, Matsumoto K. KRAS Mutations in Duodenal Lavage Fluid after Secretin Stimulation for Detection of Pancreatic Cancer. DOI: 10.1097\/SLA.0000000000006645. Online ahead of print. 2025<\/li>\n<li>Fujihara K, Isobe N, Miyamoto K, Niino M, Nakahara J, Hattori H, Yamamoto M, Kawachi I, Matsui N, Nohara C, Kokubun N, Chihara N, Misu T, Okada K, Yamashita K, Nagatsuka T, Adachi H, Nakashima I. Effectiveness of Satralizumab in a Real-world Clinical Setting in Japan: Interleukin-6 Receptor Inhibition in Neuromyelitis Optica Spectrum Disorder: A Six-month Interim Analysis of a Multicenter Medical Chart Review. Multiple Sclerosis and Related Disorders, 106384. DOI: 10.1016\/j.msard.2025.106384. 2025<\/li>\n<li>Hattori S and Uno H. On sample size determination for augmented tests based on restricted mean survival time in randomized clinical trials. Biometrical Journal 67(2). DOI: 10.1002\/bimj.70046. 2025.<\/li>\n<li>Zhou Yi, Ao Huang, Hattori S. Sensitivity analysis for reporting bias on the time-dependent summary receiver operating characteristics curve in meta-analysis of prognosis studies with time-to-event outcomes. Research Synthesis Methods. Accepted.2025<\/li>\n<li>Mori Y.; Friede T.; Hattori S.; Yamaji K.; Fukuma S. Impact of Nonadherence to Any Antiplatelet Therapy After PCI With Drug-Eluting Stents on Critical Outcomes. JACC: Asia5(6). 758\uff0d768.DOI: 10.1016\/j.jacasi.2025.03.008.2025.<\/li>\n<li>Uno H.; Tian L.; Horiguchi M.; Hattori S. Comment on \u201cAverage Hazard as Harmonic Mean\u201d by Chiba (2025). Pharmaceutical Statistics 24(5). DOI: 10.1002\/pst.70032. 2025.<\/li>\n<\/ul><\/div>\n<div class=\"content\">\n<h3 class=\"m_o0\">2024\u5e74<\/h3>\n<ul>\n<li>Hu T, Zhou Y, *Hattori S. Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood. Biometrics 80(3). DOI: 10.1093\/biomtc\/ujae092. 2024<\/li>\n<li>Zhou Y, Huang A, Hattori S. Nonparametric worst-case bounds for publication bias on the summary receiver operating characteristic curve. Biometrics 80(3). DOI: 10.1093\/biomtc\/ujae080. 2024<\/li>\n<li>Uno H, Tian L, Horiguchi M, Hattori S, Kehl K. Regression Models for Average Hazard. Biometrics 80(2), DOI: 10.1093\/biomtc\/ujae037. 2024<\/li>\n<li>Takeuchi Y, Hagiwawa Y, Komukai S, Matsuyama Y. Estimation of the causal effects of time-varying treatments in nested case-control studies using marginal structural Cox models. Biometrics 80(1), DOI: 10.1093\/biomtc\/ujae005, 2024<\/li>\n<li>Network meta-analysis of the effectiveness of psychotherapies with or without medication for treating adult depression. Acta Neuropsychiatrica. Accepted. 2024<\/li>\n<li>Takahashi A, Hattori S, Sakai E, Yang L, Katayama I, Fujimoto M, Wataya-Kaneda M. Distribution of shagreen patches and fibrous cephalic plaques in patients with tuberous sclerosis complex: A retrospective cohort study 90(4) 849-852, DOI:10.1016\/j.jaad.2023.11.061, 2024<\/li>\n<li>Hasegawa S, Shintani Y, Takuwa T, Aoe K, Kato K, Fujimoto N, Hida Y, Morise M, Moriya Y, Morohoshi T, Suzuki H, Chida M, Endo S, Kadokura M, Okumura M, Hattori S, Date H, Yoshino I. Nationwide prospective registry database of patients with newly diagnosed untreated pleural mesothelioma in Japan, Cancer Science 115(2) 507-528, DOI:10.1111\/cas.16021, 2024<\/li>\n<li>Ge S, Zha L, Tanaka A, Narii N, Shimomura Y, Komatsu M, Komukai S, Murata F, Maeda M, Kiyohara K, Kitamura T, Fukuda H. Post-discharge functional outcomes in older patients with sepsis. Critical Care 28, DOI:10.1186\/s13054-024-05080-1, 2024<\/li>\n<li>Okubo M, Komukai S, Izawa J, Kiyohara K, Matsuyama T, Iwami T, Kitamura T.Sequence of Epinephrine and Advanced Airway Placement After Out-of-Hospital Cardiac Arrest. JAMA network open 7(2), DOI:10.1001\/jamanetworkopen.2023.56863, 2024<\/li>\n<li>Handa K,\u00a0Kawamura M, Yoshioka D,\u00a0Saito S,\u00a0Kawamura T, Kawamura A,\u00a0Misumi Y,\u00a0Taira M,\u00a0Shimamura K, Komukai S,\u00a0Kitamura T,\u00a0Miyagawa S.Impact of the Aortomitral Positional Anatomy on Atrioventricular Conduction Disorder Following Mitral Valve Surgery. Journal of the American Heart Association 16(20), DOI:10.1161\/JAHA.124.035826, 2024<\/li>\n<li>Inoue K,\u00a0Sakamaki K,\u00a0Komukai S,\u00a0Ito Y,\u00a0Goto A, Shinozaki T. Confounder Selection and Sensitivity Analyses to Unmeasured Confounding from Epidemiological and Statistical Perspectives. Journal of Epidemiology, DOI:10.2188\/jea.JE20240082, 2024<\/li>\n<li>Narii N, Kitamura T, Hirayama A, Shimomura Y, Zha L, Komatsu M, Komukai S, Sotomi Y, Okada K, Sakata Y, Murata F, Maeda M, Kiyohara K, Sobue T, Fukuda H. Postdischarge functional outcomes in older patients with acute heart failure in Japan: the Longevity Improvement &#038; Fair Evidence study. Age and Ageing 53(7), DOI:10.1093\/ageing\/afae152, 2024<\/li>\n<li>Ge S, Kitamura T, Zha L, Komatsu M, Komukai S, Murata F , Maeda M , Gon Y, Kimura Y, Kiyohara K, Sobue T, Fukuda H. Association of Statin Use with Dementia Risk Among Older Adults in Japan: A Nested Case-Control Study Using the LIFE Study. Journal of Alzheimer\u2019s Disease 100(3) 987-998, DOI:10.3233\/JAD-240113, 2024<\/li>\n<li>Ge\u00a0S,\u00a0 Zha\u00a0L,\u00a0Kimura\u00a0Y,\u00a0Shimomura\u00a0Y,\u00a0Komatsu\u00a0M,\u00a0Gon\u00a0Y,\u00a0Komukai\u00a0S,\u00a0Murata\u00a0F, Maeda\u00a0M, Kiyohara\u00a0K,\u00a0Sobue\u00a0T,\u00a0Kitamura\u00a0T, Fukuda H. Statin use and risk of Parkinson\u2019s disease among older adults in Japan: a nested case-control study using the longevity improvement and fair evidence study. Brain Commun 6(3), DOI:10.1093\/braincomms\/fcae195, 2024<\/li>\n<li>Okubo M, Komukai S, Izawa J, Chung S, Drennan R. I, Grunau E. B, Lupton R. J, Ramgopal S, Thomas D. Rea, Callaway W. C. Survival After Intra-Arrest Transport vs On-Scene Cardiopulmonary Resuscitation in Children. JAMA Network Open, DOI:10.1001\/jamanetworkopen.2024.11641, 2024<\/li>\n<li>Okubo M, Komukai S, Andersen W.L, Berg A. R, Kurz C. M, Morrison J. L, Callaway W.C. Duration of cardiopulmonary resuscitation and outcomes for adults with in-hospital cardiac arrest: retrospective cohort study. BMJ (Clinical research ed.) 384, DOI:10.1136\/bmj-2023-076019, 2024<\/li>\n<li>Ramgopal S, Naik V.V, Komukai S, Owusu-Ansah S, Crowe P.R, Okubo M, Martin-Gill C. The association of prehospital systemic corticosteroids with emergency department and in-hospital outcomes for patients with asthma exacerbations. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, DOI:10.1111\/acem.14890, 2024<\/li>\n<\/ul><\/div>\n<div class=\"content\">\n<h3 class=\"m_o0\">2023\u5e74<\/h3>\n<ul>\n<li>Hattori S, Morita S. Frequentist analysis of basket trials with one-sample Mantel-Haenszel procedures. Statistics in Medicine 42(26), 4824-4849, DOI: 10.1002\/sim.9890, 2023<\/li>\n<li>Komukai S, Hattori S. Asymptotic justification of maximum likelihood estimation for the proportional excess hazard model in analysis of cancer registry data. Japanese Journal of Statistics and Data Science 6(1), 337-359, DOI: 10.1007\/s42081-023-00190-6. 2023<\/li>\n<li>Zhou Y, Huang A, Hattori S. A likelihood-based sensitivity analysis for publication bias on the summary receiver operating characteristic in meta-analysis of diagnostic test accuracy. Statistics in Medicine 42(6),781-798. DOI:10.1002\/sim.9643. 2023<\/li>\n<li>Mizutani S, Zhou Y, Tian Y, Takagi T, Ohkubo T, Hattori S. DTAmetasa: an R shiny application for meta-analysis of diagnostic test accuracy and sensitivity analysis of publication bias. Research Synthesis Methods 14, 916-925, DOI: 10.1002\/jrsm.1666, 2023<\/li>\n<li>Yoshizawa H, Hattori, Yoshida K, Maeda H, Kitamura T, Morii E. Association of atmospheric temperature with out-of-hospital natural deaths occurrence before and during the COVID-19 pandemic in Osaka, Japan. Scientific reports 13(1),18529,  DOI: 10.1038\/s41598-023-45816-7, 2023<\/li>\n<li>Kamitani T, Hattori S, Takami H, Ikumi A, Sakuyama N, Kurogi S, Yoneda M, Miyazaki S, Mikami Y. Characteristics of Severe Judo-Related Neck Injuries in Japan. The Arts and Sciences of Judo3(1),35-38. 2023<\/li>\n<li>Gon Y, Sakaguchi M, Yamagami H, Abe S, Hashimoto H, Ohara N, Takahashi D, Abe Y, Takahashi T, Kitano T, Okazaki S, Todo K, Sasaki T, Hattori S, and Mochizuki H, on behalf of the SCAN Study 11 Investigators.Predictors of survival in patients with ischemic stroke and active cancer: A prospective, multicenter, observational study. Journal of the American Heart Association 12(15). DOI: 10.1101\/2023.05.08.23289699. 2023<\/li>\n<li>Nabatame S, Tanigawa J, Tominaga K, Kagitani-Shimono K, Yanagihara K, Imai K, Ando T, Tsuyusaki Y, Araya N, Matsufuji M, Natsume J, Yuge K, Bratkovic D, Arai H, Okinaga T, Matsushige T, Azuma Y, Ishihara N, Miyatake S, Kato M, Matsumoto N, Okamoto N, Takahashi S, Hattori S, Ozono K. Association between cerebrospinal fluid parameters and developmental and neurological status in glucose transporter 1 deficiency syndrome. Journal of the Neurological Sciences,447. DOI:DOI: 10.1016\/j.jns.2023.120597. 2023<\/li>\n<li>Fujimaki T, Ohno Y, Tsutsui A, Inoue Y, Zha L, Fujii M, Tajima T, Hattori S, Sobue T. Characteristics and Outcomes of COVID-19 in Reproductive-Aged Pregnant and Nonpregnant Women in Osaka, Japan. Major Causes of Death among Older Adults after the Great East Japan Earthquake: A Retrospective Study, International Journal of Environmental Research and Public Health20(6). DOI:10.3390\/ijerph20065058. 2023<\/li>\n<li>Tomimaru Y, Eguchi H, Inoue Y, Nagakawa Y, Ohba A, Takami H, Unno M, Yamamoto T, Kawakatsu S, Hayashi T, Higuchi R, Kitagawa H, Hattori S, Fujii T, Hirooka Y, Igarashi H, Kitano M, Kuroki T, Masamune A, Shimizu Y, Tani M, Tanno S, Tsuji Y, Yamaue H, Satoi S, Takeyama Y, Committee of Clinical Research, Japan Pancreas Society. Impact of S-1 adjuvant chemotherapy longer than 6\u00a0months on survival in patients with resected pancreatic cancer: a nationwide survey by the Japan Pancreas Society based on real-world data. Cancer 129(5),728-739. DOI:10.1002\/cncr.34580. 2023<\/li>\n<li>Okita Y, Kitamura T, Komukai S, Zha L, Komatsu M, Narii N, Murata F, Megumi M, Gon Y, Kimura Y, Kiyohara K, Sobue T, Fukuda H. Association of anticholinergic drug exposure with the risk of dementia among older adults in Japan: The LIFE Study. International journal of geriatric psychiatry 38(12), DOI:10.1002\/gps.6029. 2023<\/li>\n<li>Okada Y, Komukai S, Irisawa T, Yamada T, Yoshiya K, Park C, Nishimura T, Ishibe T, Kobata H, Kiguchi T, Kishimoto M, Kim Sung-Ho,  Ito Y, Sogabe T, Morooka T, Sakamoto H, Suzuki K, Onoe A,  Matsuyama T, Nishioka N, Matsui S, Yoshimura S, Kimata S, Kawai S, Makino Y, Kiyohara K, Zha L, Ong H. E. M., Iwami T, Kitamura T.In-hospital extracorporeal cardiopulmonary resuscitation for patients with out-of-hospital cardiac arrest: an analysis by time-dependent propensity score matching using a nationwide database in Japan. Critical care (London, England) 27(1) 442, DOI:10.1186\/s13054-023-04732-y. 2023<\/li>\n<li>Shimomura Y, Komukai S, Kitamura T, Sobue T, Akahoshi Y, Kanda J, Ohigashi H, Nakamae H, Hiramoto N, Nagafuji K, Tanaka T, Eto T, Ota S, Maruyama Y, Akasaka T, Matsuoka K, Mori Y, Fukuda T, Atsuta Y, Terakura S.Effect of graft-versus-host disease on outcomes of HLA-haploidentical peripheral blood transplantation using post-transplant cyclophophamide. Bone marrow transplantation 59(1) 66-75, DOI:10.1038\/s41409-023-02142-w. 2023<\/li>\n<li>Shimomura Y, Komukai S, Kitamura T, Tachibana T, Kurosawa S, Itonaga H, Tsukamoto S, Doki N,  Katayama Y, Ito A, Sawa M, Ueda Y, Nakamae H, Nawa Y, Tanaka M, Arai Y, Ota S, Kataoka K, Nishida T, Kanda J, Fukuda T, Atsuta Y, Ishiyama K. The prognosis and risk factors for patients with complex karyotype myelodysplastic syndrome undergoing allogeneic haematopoietic stem cell transplantation. British journal of haematology 204(2), 612-622. DOI:10.1111\/bjh.19139.2023<\/li>\n<li>Sotomi Y, Tamaki S, Hikoso S, Nakatani D, Okada K, Dohi T, Sunaga A, Kida H, Sato T, Matsuoka Y, Sakamoto D, Kitamura T, Komukai S, Seo M, Yano M, Hayashi T, Nakagawa A, Nakagawa Y, Ohtani T, Yasumura Y, Yamada T, Sakata Y.Pathophysiological insights into machine learning-based subphenotypes of acute heart failure with preserved ejection fraction. Heart (British Cardiac Society) 110(6) 441-447. DOI:10.1136\/heartjnl-2023-323059. 2023<\/li>\n<li>Sasaki T, Suda G, Ohara M, Hosoda S, Kawagishi N, Kohya R, Yoda T, Maehara O, Ohnishi S, Yoshida S, Fu Q, Yang Z, Tokuchi Y, Kitagataya T, Suzuki K, Nakai  M, Sho T, Natsuizaka M, Komukai S, Ogawa K, Sakamoto N. Recent prevalence and characteristics of patients with hepatitis delta virus in Hokkaido, Japan. Hepatology research : the official journal of the Japan Society of Hepatology 53(10) 893-1042. DOI:10.1111\/hepr.13936. 2023<\/li>\n<li>Nakae M, Kainuma S, Toda K, Yoshikawa Y, Hata H, Yoshioka D, Kawamura T, Kawamura A, Kashiyama N, Ueno T, Kuratani T, Kondoh H, Hiraoka A, Sakaguchi T, Yoshitaka H, Shirakawa Y, Takahashi T, Sakaki M, Masai T, Komukai S, Kitamura T, Hirayama A, Shimomura Y, Miyagawa S.Impact of Complete Revascularization in Coronary Artery Bypass Grafting for Ischemic Cardiomyopathy. JTCVS Open 15, 211-219, DOI:10.1016\/j.xjon.2023.04.008. 2023<\/li>\n<li>Takata S, Komukai S, Hoshino T, Tabuchi H, Masuhiro K, Yaga M, Shirai Y, Mitsui Y, Abe Y, Kuge Y, Fukushima K, Kida H, Kumanogoh A.Identifying phenotypes in interstitial lung disease using group-based trajectory modelling.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease,27(4), 332-334, DOI:10.5588\/ijtld.22.0417. 2023<\/li>\n<li>Fukushima K, Matsumoto Y, Matsuki T, Saito H, Motooka D, Komukai S, Fukui E,Yamuchi J, Nitta T,Niitsu T, Abe Y, Nabeshima H, Nagahama Y, Nii T, Tsujino K, Miki K, Kitada S, Kumanogoh A, Akira S, Nakamura S, Kida H. MGIT-seq for the Identification of Nontuberculous Mycobacteria and Drug Resistance: a Prospective Study. Journal of Clinical Microbiology. DOI:10.1128\/jcm.01626-22. 2023<\/li>\n<li>Yohei Sotomi,Shungo Hikoso,Sho Komukai,Tetsuhisa Kitamura,Daisaku Nakatani,Tomoharu Dohi,Hiroya Mizuno,Katsuki Okada,Hirota Kida,Bolrathanak Oeun,Akihiro Sunaga,Taiki Sato,Yuki Matsuoka,Yasuhiko Sakata,Hiroshi Sato,Masatsugu Hori,Issei Komuro,Yasushi Sakata.Individual acute-phase bleeding and thrombotic risk balance assessment in patients undergoing percutaneous coronary intervention for acute myocardial infarction. American Heart Journal Plus:Cardiology(28). DOI:10.1016\/j.ahjo.2023.100292. 2023<\/li>\n<li>Nobuhiro Narii,Tetsuhisa Kitamura,Sho Komukai,Ling Zha,Masayo Komatsu,Fumiko Murata,Megumi Maeda,Kosuke Kiyohara,Tomotaka Sobue,Haruhisa Fukuda. Association of pneumococcal vaccination with cardiovascular diseases in older adults: The vaccine effectiveness, networking, and universal safety (VENUS) study. Vaccine(43)13, 2307-2313. DOI:10.1016\/j.vaccine.2023.02.077. 2023<\/li>\n<li>Jeffrey Amoako,Sho Komukai,Junichi Izawa,Clifton W Callaway,Masashi Okubo.Evaluation of Use of Epinephrine and Time to First Dose and Outcomes in Pediatric Patients With Out-of-Hospital Cardiac Arrest. JAMA Network Open. DOI:10.1001\/jamanetworkopen.2023.5187. 2023<\/li>\n<li>Satoshi Nakajima, Tasuku Matsuyama, Makoto Watanabe, Sho Komukai, Kenji Kandori, Asami Okada, Yohei Okada, Tetsuhisa Kitamura, Bon Ohta.Prehospital Physician Presence for Patients With out-of-Hospital Cardiac Arrest Undergoing Extracorporeal Cardiopulmonary Resuscitation: A Multicenter, Retrospective, Nationwide Observational Study in Japan (The JAAM-OHCA registry). Current Problems in Cardiology(48)5. DOI:10.1016\/j.cpcardiol.2023.101600. 2023<\/li>\n<li>Yoshimitsu Shimomura, Ling Zha, Sho Komukai, Nobuhiro Narii, Tomotaka Sobue, Tetsuhisa Kitamura, Satoshi Shiba, Sayaka Mizutani, Takuji Yamada, Norie Sawada, Shinichi Yachida.Mediation effect of intestinal microbiota on the relationship between fiber intake and colorectal cancer. Internatinal Journal of Cancer. DOI:10.1002\/ijc.34398. 2023<\/li>\n<li>Yohei Sotomi, Shungo Hikoso, Daisaku Nakatani, Katsuki Okada, Tomoharu Dohi, Akihiro Sunaga, Hirota Kida, Taiki Sato, Yuki Matsuoka, Tetsuhisa Kitamura, Sho Komukai, Masahiro Seo, Masamichi Yano, Takaharu Hayashi, Akito Nakagawa, Yusuke Nakagawa, Shunsuke Tamaki, Tomohito Ohtani, Yoshio Yasumura, Takahisa Yamada, Yasushi Sakata; OCVC-Heart Failure Investigator.Medications for specific phenotypes of heart failure with preserved ejection fraction classified by a machine learning-based clustering model. BMJ. DOI:10.1136\/heartjnl-2022-322181. 2023<\/li>\n<\/ul><\/div>\n<div class=\"content\">\n<h3 class=\"m_o0\">2022\u5e74<\/h3>\n<ul>\n<li>Huang A, Morikawa K, Friede T, *Hattori S. Adjusting for publication bias in meta-analysis via inverse probability weighting using clinical trial registries. Biometrics 79(3), 2089-2102. DOI:10.11111\/biom.13822. 2022<\/li>\n<li>Hattori S, Komukai S, Friede T. Sample size calculation for the augmented logrank test in randomized clinical trials. Statistics in Medicine 41(14),2627-2644. DOI:10.1002\/sim.9374.2022<\/li>\n<li>Kikuchi M, Kobayashi K, Itoh S, Kasuga K, Miyashita A, Ikeuchi T, Yumoto E, Kosaka Y, Fushimi Y, Takeda T, Manabe S, Hattori S, Nakaya A, Kamijo K, Matsumura Y, Alzheimer&#8217;s Disease Neuroimaging Initiative.Identification of mild cognitive impairment subtypes predicting conversion to Alzheimer&#8217;s disease using multimodal data. Computational and Structural Biotechnology Journal 20,5296-5308. DOI:10.1016\/j.csbj.2022.08.007. 2022<\/li>\n<li>Kaida H, Yasuda T, Shiraishi O, Kato H, Kimura Y, Hanaoka K, Yamada M, Matsukubo Y, Tsurusaki M, Kitajima K, Hattori S, Ishii K.The usefulness of the total metabolic tumor volume for predicting the postoperative recurrence of thoracic esophageal squamous cell carcinoma, BMC cancer22,1176(2022).DOI:10.1186\/s12885-022-10281-4. 2022<\/li>\n<li>Eltahir M, Nakamori M, Hattori S, Kimura T, Mochizuki H, Nagano S.Pharmacotherapy alleviates pathological changes in human direct reprogrammed neuronal cell model of myotonic dystrophy type 1, PLOS ONE 17(7). DOI: 10.1371\/journal.pone.0269683. 2022<\/li>\n<li>Fukui S, Ikuta K, Maeda I, Hattori S, Hatano Y, Yamakawa Y, Utsumi M, Higami Y, Tanaka H, Higuchi A. Association between respiratory and heart rate fluctuations and death occurrence in dying cancer patients: Continuous measurement with a non-wearable monitor. Supportive Care in Cancer. 30(1), 77-86, DOI: 10.1007\/s00520-021-06346-y. 2022<\/li>\n<li>Hirota Kida,Yohei Sotomi,Shungo Hikoso,Daisaku Nakatani,Hiroya Mizuno,Shinichiro Suna,Katsuki Okada,Tetsuhisa Kitamura,Sho Komukai,Tomoharu Dohi,Takayuki Kojima,Bolrathanak Oeun,Akihiro Sunaga,Taiki Sato,Yasuhiko Sakata,Hiroshi Sato,Masatsugu Hori,Issei Komuro,Yasushi Sakata. Prognostic significance of intra-aortic balloon pumping support in patients with acute myocardial infarction and veno-arterial extracorporeal membrane oxygenation therapy.Journal of cardiology,79(2). 2022<\/li>\n<li>Ling Zha,Tomotaka Sobue,Atsushi Hirayama,Taro Takeuchi,Kenta Tanaka,Yusuke Katayama,Sho Komukai,Takeshi Shimazu,Tetsuhisa Kitamura. Characteristics and Outcomes of COVID-19 in Reproductive-Aged Pregnant and Nonpregnant Women in Osaka, Japan.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases,117. 2022<\/li>\n<li>Haruka Shida,Tasuku Matsuyama,Sho Komukai,Taro Irisawa,Tomoki Yamada,Kazuhisa Yoshiya,Changhwi Park,Tetsuro Nishimura,Takuya Ishibe,Yoshiki Yagi,Takeyuki Kiguchi,Masafumi Kishimoto,Sung-Ho Kim,Yasuyuki Hayashi,Taku Sogabe,Takaya Morooka,Haruko Sakamoto,Keitaro Suzuki,Fumiko Nakamura,Norihiro Nishioka,Yohei Okada,Satoshi Matsui,Satoshi Yoshimura,Shunsuke Kimata,Shunsuke Kawai,Yuto Makino,Taku Iwami,Tetsuhisa Kitamura. Early prognostic impact of serum sodium level among out-of-hospital cardiac arrest patients: a nationwide multicentre observational study in Japan (the JAAM-OHCA registry).Heart and vessels. 2022<\/li>\n<li>Yohei Sotomi,Shungo Hikoso,Sho Komukai,Taiki Sato,Bolrathanak Oeun,Tetsuhisa Kitamura,Akito Nakagawa,Daisaku Nakatani,Hiroya Mizuno,Katsuki Okada,Tomoharu Dohi,Akihiro Sunaga,Hirota Kida,Masahiro Seo,Masamichi Yano,Takaharu Hayashi,Yusuke Nakagawa,Shunsuke Tamaki,Tomohito Ohtani,Yoshio Yasumura,Takahisa Yamada,Yasushi Sakata. Phenotyping of acute decompensated heart failure with preserved ejection fraction. Heart (British Cardiac Society). 2022<\/li>\n<\/ul><\/div>\n<div class=\"content\">\n<h3 class=\"m_o0\">2021\u5e74<\/h3>\n<ul>\n<li>Hattori S and Zhou XH. Summary concordance index for meta-analysis of prognosis studies with survival outcome. Statistics in Medicine, 40(24), 5218-5236, DOI: 10.1002\/sim.9121, 2021<\/li>\n<li>Huang A, Komukai S, Friede T, *Hattori S. Using clinical trial registries to inform Copas selection model for publication bias in meta-analysis. Research Synthesis Methods, 12(5), 658\u2013673, DOI:10.1002\/jrsm.1506, 2021<\/li>\n<li>Henmi M, Hattori S, Friede T. A confidence interval robust to publication bias for random-effects meta-analysis of few studies. Research Synthesis Methods, DOI:10.1002\/jrsm.1482, 2021.<\/li>\n<li>Fujihara K, Hattori S, Kleiter I, Levy M, Matsuda Y, Mitsutaka A, Haramura M, Palace J, Yamamura T, on behalf of The Guthy-Jackson Charitable Foundation NMOSD Quality of Life Working Group. Patient-reported burden of symptoms in neuromyelitis optica: A secondary analysis on pain and quality of life. Journal of the Neurological Science, 428, 117546, DOI: 10.1016\/j.jns.2021.11<\/li>\n<li>Kitano T, Hori Y, Okazaki S, Shimada Y, Iwamoto T, Kanki H, Sugiyama S, Sasaki T, Nakamura H, Oyama N, Hoshi T, Beck G, Takai H, Matsubara S, Mizuno H, Nishimura H, Tamaki R, Iida J, Iba J, Uno M, Kishima H, Fushimi H, Hattori S, Murayama S, Morii E, Sakaguchi M, Yagita Y, Shimazu T, Mochizuki H, Todo K. An Older Thrombus Delays Reperfusion after Mechanical Thrombectomy for Ischemic Stroke. Thrombosis and Haemostasis, 122, 415-426. DOI: 10.1055\/a-1522-4507. 2021<\/li>\n<li>Fukui S, Ohama E, Hattori S. Environmental Factors Related to Sleep Latency among Inpatients in Rehabilitation Wards: According to the Functional Independence Measure Cognitive Scores. International Journal of Nursing Practice. DOI: 10.1111\/ijn.12964, 2021.<\/li>\n<li>Kaida H, Kitajima K, Nakajo M, Ishibashi M, Matsunaga T, Minamimoto R, Hirata K, Nakatani K, Hung A, Hattori S, Yasuda T, Ishii K. Predicting tumor response and prognosis to neoadjuvant chemotherapy in esophageal squamous cell carcinoma patients using PERCIST:A multicenter study in Japan. Eur J Nucl Med Mol Imaging 48(11), 3666-3682, DOI: 10.1007\/s00259-021-05365-5, 2021<\/li>\n<li>Takahashi A, Hattori S, Sakai E, Yang L, Katayama I, Fujimoto M, Wataya-Kaneda M. Distribution of Hypomelanotic Macules in Tuberous Sclerosis Complex: a Retrospective Cohort Study. Journal of the American Academy of Dermatology, accepted, DOI: 10.1016\/j.jaad.2021.07.071. 2021<\/li>\n<li>Kawano T, Sasaki T, Gon Y, Kitano T, Kanki H, Todo K, Shimamura M, Matsumura Y, Huang A, Hattori S, Mochizuki H. High neutrophil\/lymphocyte ratio at cancer diagnosis predicts incidence of stroke in cancer patients. Brain Communications, 3(2), DOI: 10.1093\/braincomms\/fcab071. 2021<\/li>\n<li>Kusumoto S, Ikeda J, Kurashige M, Ohshima K, Tahara S, Matsui T, Nojima S, Wada N, Hattori S, Morii E. An Immature Inhibin \u03b1-expressing Subpopulation of Ovarian Clear Cell Carcinoma Cells is Related to an Unfavorable Prognosis. Cancer Medicine, DOI:10.1002\/cam4.3801, 2021.<\/li>\n<li>Takeuchi T, Hikoso S, Hattori S, Kitamura T, Nakatani D, Mizuno H, Okada K, Dohi T, Kojima T, Kida H, Sunaga A, Oeun B, Sato T, Sakata Y, Sato H, Hori M, Komuro I, Sobue T, Sakata Y, on behalf of the Osaka Acute Coronary Insufficiency Study (OACIS) Group. The effect of a cancer history on patients with acute myocardial infarction after percutaneous coronary intervention: insights from the OACIS registry. International Heart Journal, , DOI:10.1536\/ihj.20-452, 2021.<\/li>\n<li>Matsuyama T, Komukai S, Izawa J, Gibo K, Okubo M, Kiyohara K, Kiguchi T, Iwami T, Ohta B, Kitamura T. Epinephrine administration for adult out-of-hospital cardiac arrest patients with refractory shockable rhythm: time-dependent propensity score-sequential matching analysis from a nationwide population-based registry. European heart journal. Cardiovascular pharmacotherapy, DOI:10.1093\/ehjcvp\/pvab013, 2021.<\/li>\n<li>Kainuma S., Mitsuno M., Toda K., Miyagawa S., Yoshikawa Y., Hata H., Yoshioka D., Kawamura T., Kawamura A., Kashiyama N., Ueno T., Kuratani T., Kondoh H., Funatsu T., Hiraoka A., Sakaguchi T., Yoshitaka H., Shirakawa Y., Takahashi T., Sakaki M., Masai T., Saito S., Monta O., Kitamura T., Komukai S., Hirayama A., Taniguchi K., Miyamoto Y., Sawa Y. Surgical Ablation Concomitant with Non-mitral valve surgery for Persistent Atrial Fibrillation. The Annals of thoracic surgery, DOI:10.1016\/j.athoracsur.2020.11.069, 2021.<\/li>\n<li>Tanaka H, Takemoto N, Horie M, Takai E, Fukusumi T, Suzuki M, Eguchi H, Komukai S, Tatsumi M, Isohashi F, Ogawa K, Yachida S, Inohara H. Circulating tumorHPV DNAcomplementsPET-CTin guiding management after radiotherapy inHPV-related squamous cell carcinoma of the head and neck. INTERNATIONAL JOURNAL OF CANCER, 148(4), 995-1005, DOI:10.1002\/ijc.33287, 2021.<\/li>\n<li>Sotomi Y, Hikoso S, Nakatani D, Mizuno H, Okada K, Dohi T, Kitamura T, Sunaga A, Kida H, Oeun B, Sato T, Komukai S, Tamaki S, Yano M, Hayashi T, Nakagawa A, Nakagawa Y, Yasumura Y, Yamada T, Sakata Y. Sex Differences in Heart Failure With Preserved Ejection Fraction. Journal of the American Heart Association, 10(5), DOI:10.1161\/JAHA.120.018574, 2021.<\/li>\n<li>Mitsuyama Y, Shimizu K, Hirayama A, Komukai S, Kitamura T, Ogura H, Shimazu T. Splenic volume on computed tomography scans is associated with mortality in patients with sepsis.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 104, 624-630, DOI: 10.1016\/j.ijid.2021.01.012, 2021.<\/li>\n<li>Fukushima K, Kitada S, Komukai S, Kuge T, Matsuki T, Kagawa H, Tsujino K, Miki M, Miki K, Kida H. First line treatment selection modifies disease course and long-term clinical outcomes in Mycobacterium avium complex pulmonary disease, SCIENTIFIC REPORTS, 11(1),1178, DOI: 10.1038\/s41598-021-81025-w, 2021.<\/li>\n<li>Worm-Smeitink M, Monden R, Groen RN, van Gils A, Bekhuis E, Rosmalen J, Knoop H. Towards personalized assessment of fatigue perpetuating factors in patients with chronic fatigue syndrome using ecological momentary assessment: A pilot study, Journal of Psychosomatic Research, 140, DOI: 10.1016\/j.jpsychores.2020.110296, 2021<\/li>\n<li>Harutoshi Ozawa,Kenji Fukui,Sho Komukai,Megu Y Baden,Shingo Fujita,Yukari Fujita,Takekazu Kimura,Ayumi Tokunaga,Hiromi Iwahashi,Junji Kozawa,Iichiro Shimomura.Maximum body mass index before onset of type 2 diabetes is independently associated with advanced diabetic complications. BMJ open diabetes research &amp; care, 9(2). 2021<\/li>\n<li>Yohei Okada,Sho Komukai,Tetsuhisa Kitamura,Takeyuki Kiguchi,Taro Irisawa,Tomoki Yamada,Kazuhisa Yoshiya,Changhwi Park,Tetsuro Nishimura,Takuya Ishibe,Yoshiki Yagi,Masafumi Kishimoto,Toshiya Inoue,Yasuyuki Hayashi,Taku Sogabe,Takaya Morooka,Haruko Sakamoto,Keitaro Suzuki,Fumiko Nakamura,Tasuku Matsuyama,Norihiro Nishioka,Daisuke Kobayashi,Satoshi Matsui,Atsushi Hirayama,Satoshi Yoshimura,Shunsuke Kimata,Takeshi Shimazu,Shigeru Ohtsuru,Taku Iwami. Clinical Phenotyping of Out-of-Hospital Cardiac Arrest Patients With Shockable Rhythm &#8211; Machine Learning-Based Unsupervised Cluster Analysis.Circulation journal : official journal of the Japanese Circulation Society. 2021<\/li>\n<li>Masashi Okubo,Sho Komukai,Junichi Izawa,Tom P Aufderheide,Justin L Benoit,Jestin N Carlson,Mohamud R Daya,Matthew Hansen,Ahamed H Idris,Nancy Le,Joshua R Lupton,Graham Nichol,Henry E Wang,Clifton W Callaway. Association of Advanced Airway Insertion Timing and Outcomes After Out-of-Hospital Cardiac Arrest.Annals of emergency medicine, 79(2). 2021<\/li>\n<li>Mikiko Senzai,Satoshi Kainuma,Koichi Toda,Shigeru Miyagawa,Daisuke Yoshioka,Takuji Kawamura,Ai Kawamura,Noriyuki Kashiyama,Yusuke Misumi,Takayoshi Ueno,Toru Kuratani,Tetsuhisa Kitamura,Sho Komukai,Kazuhiro Taniguchi,Yoshiki Sawa. Clinical Outcomes Following Durable Mitral Valve Repair for Ischemic Mitral Regurgitation.The Annals of thoracic surgery. 2021<\/li>\n<li>Masashi Okubo,Sho Komukai,Junichi Izawa,Koichiro Gibo,Kosuke Kiyohara,Tasuku Matsuyama,Taku Iwami,Clifton W Callaway,Tetsuhisa Kitamura. Timing of Prehospital Advanced Airway Management for Adult Patients With Out-of-Hospital Cardiac Arrest: A Nationwide Cohort Study in Japan.Journal of the American Heart Association, 10(17). DOI:10.1161\/JAHA.121.021679. 2021<\/li>\n<li>Kiyoharu Fukushima,Seigo Kitada,Yuki Matsumoto,Sho Komukai,Tomoki Kuge,Takahiro Kawasaki,Takanori Matsuki,Daisuke Motooka,Kazuyuki Tsujino,Mari Miki,Keisuke Miki,Shota Nakamura,Hiroshi Kida. Serum GPL core antibody levels are associated with disease activity and treatment outcomes in Mycobacterium avium complex lung disease following first line antibiotic treatment.Respiratory medicine, 187. DOI:10.1016\/j.rmed.2021.106585. 2021<\/li>\n<li>Masashi Okubo,Sho Komukai,Clifton W Callaway,Junichi Izawa. Association of Timing of Epinephrine Administration With Outcomes in Adults With Out-of-Hospital Cardiac Arrest.JAMA network open, 4(8). DOI:10.1001\/jamanetworkopen.2021.20176. 2021<\/li>\n<li>Yusuke Misumi,Satoshi Kainuma,Koichi Toda,Shigeru Miyagawa,Daisuke Yoshioka,Atsushi Hirayama,Tetsuhisa Kitamura,Sho Komukai,Yoshiki Sawa. Left ventricle-mitral valve ring size mismatch following ring annuloplasty for nonischemic dilated cardiomyopathy.The Journal of thoracic and cardiovascular surgery. DOI:10.1016\/j.jtcvs.2021.05.047. 2021<\/li>\n<li>Yusuke Katayama,Ling Zha,Tetsuhisa Kitamura,Atsushi Hirayama,Taro Takeuchi,Kenta Tanaka,Sho Komukai,Takeshi Shimazu,Tomotaka Sobue. Characteristics and Outcomes of Pediatric COVID-19 Patients in Osaka, Japan. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 18(11), 629-635. DOI:10.3390\/ijerph18115911. 2021<\/li>\n<li>Kenta Tanaka,Ling Zha,Tetsuhisa Kitamura,Yusuke Katayama,Taro Takeuchi,Sho Komukai,Atsushi Hirayama,Takeshi Shimazu,Tomotaka Sobue. Characteristics and outcomes of older patients with coronavirus disease 2019 in Japan. GERIATRICS &amp; GERONTOLOGY INTERNATIONAL, 21(8), 629-635. DOI:10.1111\/ggi.14207. 2021<\/li>\n<li>Ling Zha,Tomotaka Sobue,Taro Takeuchi,Kenta Tanaka,Yusuke Katayama,Sho Komukai,Atsushi Hirayama,Takeshi Shimazu,Tetsuhisa Kitamura. Characteristics and Survival of Intensive Care Unit Patients with Coronavirus Disease in Osaka, Japan: A Retrospective Observational Study. JOURNAL OF CLINICAL MEDICINE, 10(11). DOI: 10.3390\/jcm10112477. 2021<\/li>\n<li>Keisuke Mori,Kaho Uchino,Sho Komukai,Reona Aijima,Daiji Shimohira,Atsushi Danjo,Yoshio Yamashita. Clinical evaluation of steroid ointment for the treatment of mucoceles.Oral surgery, oral medicine, oral pathology and oral radiology, 132(3),307-311. DOI:10.1016\/j.oooo.2021.04.054. 2021<\/li>\n<li>Masaro Nakae,Satoshi Kainuma,Koichi Toda,Shigeru Miyagawa,Yasushi Yoshikawa,Hiroki Hata,Daisuke Yoshioka,Takuji Kawamura,Ai Kawamura,Noriyuki Kashiyama,Sho Komukai,Tetsuhisa Kitamura,Atsushi Hirayama,Takayoshi Ueno,Toru Kuratani,Haruhiko Kondoh,Takafumi Masai,Arudo Hiraoka,Taichi Sakaguchi,Hidenori Yoshitaka,Yukitoshi Shirakawa,Toshiki Takahashi,Kazuhiro Taniguchi,Yoshiki Sawa. Incidence, determinants and clinical impact of left ventricular function recovery after surgical treatments for ischaemic cardiomyopathy.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery, 60(3), 689-696. DOI:10.1093\/ejcts\/ezab122. 2021<\/li>\n<li>Kosuke Kiyohara,Masashi Okubo,Sho Komukai,Junichi Izawa,Koichiro Gibo,Tasuku Matsuyama,Takeyuki Kiguchi,Taku Iwami,Tetsuhisa Kitamura. Association Between Resuscitative Time on the Scene and Survival After Pediatric Out-of-Hospital Cardiac Arrest.Circulation reports, 3(4),211-216. DOI:10.1253\/circrep.CR-21-0021. 2021<\/li>\n<li>Yumi Mitsuyama,Kentaro Shimizu,Atsushi Hirayama,Sho Komukai,Tetsuhisa Kitamura,Hiroshi Ogura,Takeshi Shimazu. Splenic volume on computed tomography scans is associated with mortality in patients with sepsis. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 104, 624-630. DOI:10.1016\/j.ijid.2021.01.012. 2021<\/li>\n<li>Acevedo-Mesa A., Monden R., Castro-Alvarez S., Rosmalen J.G.M., Roest A.M., Tendeiro J.N. Does Functional Somatic Symptoms Measurement Differ Across Sex and Age? Differential Item Functioning in Somatic Symptoms Measured With the CIDI. Assessment. DOI:10.1177\/10731911211017228. 2021<\/li>\n<\/ul><\/div>\n<div class=\"content\">\n<h3 class=\"m_o0\">2020\u5e74<\/h3>\n<ul>\n<li>Kainuma S, Toda K, Miyagawa S, Yoshikawa Y, Hata H, Yoshioka D, Kawamura T, Kawamura A, Ueno T, Kuratani T, Kondoh H, Masai T, Hiraoka A, Sakaguchi T, Yoshitaka H, Shirakawa Y, Takahashi T, Saito S, Monta O, Sado J, Kitamura T, Komukai S, Hirayama A, Taniguchi K, Sawa Y. Restrictive mitral annuloplasty with or without coronary artery bypass grafting in ischemic mitral regurgitation. ESC heart failure, 7(4), 1560-1570, DOI:10.1002\/ehf2.12705, 2020.<\/li>\n<li>Ozawa H, Fukui K, Komukai S, Hosokawa Y, Fujita Y, Kimura T, Tokunaga A, Kozawa J, Iwahashi H, Shimomura I. Clinical Significance of the Maximum Body Mass Index Before Onset of Type 2 Diabetes for Predicting Beta-Cell Function. Journal of the Endocrine Society, 4(4), DOI:10.1210\/jendso\/bvz023, 2020.<\/li>\n<li>Katayama Y, Kiyohara K, Komukai S, Kitamura T, Ishida K, Hirose T, Matsuyama T, Kiguchi T, Shimazu T. Relationship between the number of pediatric patients with rotavirus and telephone triage for associated symptoms. The American journal of emergency medicine, In Press, DOI:10.1016\/j.ajem.2020.03.039, 2020.<\/li>\n<li>Okada K, Wongboot W, Kamjumphol W, Suebwongsa N, Wangroongsarb P, Kluabwang P, Chuenchom N, Swaddiwudhipong W, Wongchai T, Manosuthi W, Assawapatchara N, Khum-On P, Udompat P, Thanee C, Kitsaran S, Jirapong L, Jaiwong C, Nedsuwan S, Siripipattanamongkol C, Okada PA, Chantaroj S, Komukai S, Hamada S. Etiologic features of diarrheagenic microbes in stool specimens from patients with acute diarrhea in Thailand. Scientific reports, 10(1), DOI:10.1038\/s41598-020-60711-1, 2020.<\/li>\n<li>Komukai S and *Hattori S. Doubly robust inference procedure for relative survival ratio in population-based cancer registry data. Statistics in Medicine, 39(13), 1884-1900, DOI:10.1002\/sim.8521, 2020.<\/li>\n<li>Kitano T, Sasaki T, Gon Y, Todo K, Okazaki S, Kitamura T, Kitamura Y, Sakaguchi M, Sobue T, Matsumura Y, Hattori S, Mochizuki H. The effect of chemotherapy on stroke risk in cancer patients. Thrombosis and Haemostasis, 120(4), 714-723, DOI: 10.1055\/s-0040-1708484, 2020.<\/li>\n<li>Shibata T, Watari K, Kawahara A, Sudo T, Hattori S, Murakami Y, Izumi H, Itou J, Toi M, Akiba J, Akagi Y, Tanaka M, Kuwano M, and Ono M. Targeting phosphorylation of Y-box binding protein YBX1 by TAS0612 and Everolimus in overcoming antiestrogen resistance. Molecular Cancer Therapeutics, 19 (3), 882-895 DOI: 10.1158\/1535-7163.MCT-19-0690, 2020.<\/li>\n<li>Yusuke Katayama,Kosuke Kiyohara,Sho Komukai,Tetsuhisa Kitamura,Kenichiro Ishida,Tomoya Hirose,Tasuku Matsuyama,Takeyuki Kiguchi,Atsushi Hirayama,Takeshi Shimazu. The relationship between seasonal influenza and telephone triage for fever: A population-based study in Osaka, Japan, PLOS ONE, 15(8), 2020.<\/li>\n<li>Sunaga A, Hikoso S, Nakatani D, Inoue K, Okuyama Y, Egami Y, Kashiwase K, Hirata A, Masuda M, Furukawa Y, Watanabe T, Mizuno H, Okada K, Dohi T, Kitamura T, Komukai S, Kurakami H, Yamada T, Takeda T, Kida H, Oeun B, Kojima T, Minamiguchi H, Sakata Y.Comparison of Long-Term Outcomes Between Combination Antiplatelet and Anticoagulant Therapy and Anticoagulant Monotherapy in Patients With Atrial. Circulation reports, 2(9),457-165, 2020.<\/li>\n<li>Matsuyama T, Komukai S, Izawa J, Gibo K, Okubo M, Kiyohara K, Kiguchi T, Iwami T, Ohta B, Kitamura T, Pre-hospital administration of epinephrine in pediatric patients with out-of-hospital cardiac arrest. Journal of the American College of Cardiology, 75(2), 194-204, DOI: 10.1016\/j.jacc.2019.10.052, 2020<\/li>\n<li>Hatabu A, Mao X, Zhou Y, Kawashita N, Wen Z, Ueda M, Takagi T, Tian Y.-S. Knowledge, attitudes, and practices toward COVID-19 among university students in Japan and associated factors: An online cross-sectional survey, PLoS ONE,15(12), 2020<\/li>\n<\/ul><\/div>\n<div class=\"content\">\n<h3 class=\"m_o0\">2019\u5e74<\/h3>\n<ul>\n<li>Takeuchi T, Kitamura Y, Sado J, Hattori S, Kanemura Y, Naito Y, Nakajima K, Okuwaki T, Nakata K, Kawahara T, Sobue T. Mortality of Japanese Olympic athletes: 1952-2017 cohort study. BMJ Open Sport &amp; Exercise Medicine, 5 (1) e000653. DOI: 10.1136\/bmjsem-2019-000653, 2019<\/li>\n<li>Sado J, Morikawa K, Hattori S, Kiyohara K, Matsuyama T, Izawa J, Iwami T, Kitamura Y, Sobue T, Kitamura T. Full Moon and Out-of-Hospital Cardiac Arrest in Japan: A Population-Based, Double-Controlled Case Series Analysis. 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Infection phase is a predictor of pruritus in patients with hepatitis B virus infection. Biomedical reports, 11(2), 63-69, DOI: 10.3892\/br.2019.1224, 2019<\/li>\n<li>Okubo M, Komukai S, Izawa J, Gibo K, Kiyohara K, Matsuyama T, Kiguchi T, Iwami T, Callaway CW, Kitamura T. Prehospital advanced airway management for paediatric patients with out-of-hospital cardiac arrest: A nationwide cohort study. Resuscitation, 145, 175-184, DOI: 10.1016\/j.resuscitation.2019.09.007, 2019<\/li>\n<li>Izawa J, Komukai S, Gibo K, Okubo M, Kiyohara K, Nishiyama C, Kiguchi T, Matsuyama T, Kawamura T, Iwami T, Callaway C.W, Kitamura T.Pre-hospital advanced airway management for adults with out-of-hospital cardiac arrest: Nationwide cohort study.BMJ (Online), 364, DOI: 10.1136\/bmj.l430, 2019<\/li>\n<li>Matsuyama T, Okubo M, Kiyohara K, Kiguchi T, Kobayashi D, Nishiyama C, Okabayashi S, Shimamoto T, Izawa J, Komukai S, Gibo K, Ohta B, Kitamura T, Kawamura T, Iwami T. Sex-Based Disparities in Receiving Bystander Cardiopulmonary Resuscitation by Location of Cardiac Arrest in Japan. Mayo Clinic proceedings, 94(4), 577-587, DOI: 10.1016\/j.mayocp.2018.12.028, 2019<\/li>\n<li>Kitagawa H, Kitajima Y, Kai K, Komukai S, Tanaka T, Koga Y, Manabe T, Noshir\u03bf H. Predictive value of the ratio of 8-hydroxydeoxyguanosine levels between cancerous and normal tissues in patients with stage II\/III colorectal cancer. Oncology reports, 41(5), 3041-3050, DOI: 10.3892\/or.2019.7086, 2019<\/li>\n<li>Noda Y, Kawaguchi T, Korenaga M, Yoshio S, Komukai S, Nakano M, Niizeki T, Koga H, Kawaguchi A, Kanto T, Torimura T. High serum interleukin-34 level is a predictor of poor prognosis in patients with non-viral hepatocellular carcinoma. Hepatology research: the official journal of the Japan Society of Hepatology, 49(9), 1046-1053, DOI: 10.1111\/hepr.13350, 2019<\/li>\n<li>Noda Y, Kawaguchi T, Kuromatsu R, Komukai S, Nakano M, Niizeki T, Koga H, Kawaguchi A, Torimura T. Prognostic profile of patients with non-viral hepatocellular carcinoma: A comparative study with hepatitis C virus-related hepatocellular carcinoma using data mining analysis. Oncology letters, 18(1), 227-236, DOI: 10.3892\/ol.2019.10285, 2019<\/li>\n<li>Okubo M, Matsuyama T, Gibo K, Komukai S, Izawa J, Kiyohara K, Nishiyama C, Kiguchi T, Callaway CW, Iwami T, Kitamura T, Sex Differences in Receiving Layperson Cardiopulmonary Resuscitation in Pediatric Out-of-Hospital Cardiac Arrest: A Nationwide Cohort Study in Japan. Journal of the American Heart Association, 8(1), DOI: 10.1161\/JAHA.118.010324, 2019<\/li>\n<\/ul><\/div>\n<div class=\"content\">\n<h3 class=\"m_o0\">2018\u5e74<\/h3>\n<ul>\n<li>Sakurai R, *Hattori S. Goodness-of-fit test for the parametric proportional hazard regression model with interval-censored data. 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Inflammatory biomarkers for prediction of tumor responses in non-small cell lung cancer patients treated with anti-PD-1 inhibitor. Journal of Clinical Oncology 36(15), DOI: 10.1200\/JCO.2018.36.15_suppl.e21050, 2018<\/li>\n<li>Fujisawa S, Ueda Y, Usuki K, Kobayashi H, Kondo E, Doki N, Nakao T, Kanda Y, Kosugi N, Kosugi H, Kumagai T, Harada H, Shikami M, Maeda Y, Sakura T, Inokuchi K, Saito A, Nawa Y, Ogasawara M, Nishida J, Kondo T, Yoshida C, Kuroda H, Tabe Y, Maeda Y, Imajo K, Kojima K, Morita S, Komukai S, Kawaguchi A, Sakamoto J, Kimura S. Feasibility of the imatinib stop study in the Japanese clinical setting: delightedly overcome CML expert stop TKI trial (DOMEST Trial). International journal of clinical oncology, 24(4), 445-453, DOI: 10.1007\/s10147-018-1368-2, 2018<\/li>\n<li>Yamaji K, Kai K, Komukai S, Koga H, Ide T, Kawaguchi A, Noshiro H, Aishima S. Occult HBV infection status and its impact on surgical outcomes in patients with curative resection for HCV-associated hepatocellular carcinoma. Hepatobiliary surgery and nutrition, 7(6), 443-453, DOI: 10.21037\/hbsn.2018.10.01, 2018<\/li>\n<li>Okubo M, Gibo K, Wallace DJ, Komukai S, Izawa J, Kiyohara K, Callaway CW, Iwami T, Kitamura T. Regional variation in functional outcome after out-of-hospital cardiac arrest across 47 prefectures in Japan. Resuscitation, 124, 21-28, DOI: 10.1016\/j.resuscitation.2017.12.030, 2018<\/li>\n<li>*Hattori S and Zhou XH. Sensitivity analysis for publication bias of diagnostic studies for a continuous biomarker. Statistics in Medicine, 37(3), 327-342, 2018.<\/li>\n<li>Nomura T and *Hattori S. Estimation of the average causal effect vis multiple propensity score stratification. Communications in Statistics, Simulation and Computation, 47 (1), 48-62, 2018.<\/li>\n<li>Akihiko Kawahara, Chihiro Fukumitsu, Koichi Azuma,Tomoki Taira, Hideyuki Abe, Yorihiko Takase, Kazuya Murata, Tomohiko Yamaguchi, Yoshiki Naito, Satoshi Hattori and Jun Akiba.Combined test using both cell sediment and supernatant cell-free DNA in pleural effusion shows increased sensitivity in detecting activating EGFR mutation in lung cancer patients. Cytopatholgy, 29 (2), 150-155, 2018.<\/li>\n<li>Masahiko Tanigawa, Masamichi Nakayama, Tomoki Taira, Satoshi Hattori, Yutaro Mihara, Reiichiro Kondo, Hironori Kusano, Ken Nakamura, Yushi Abe, Yusuke Ishida, Yoshinobu Okabe, Toru Hisaka, Koji Okuda, Kosuke Fujino, Takaaki Ito, Akihiko Kawahara, Yoshiki Naito, Rin Yamaguchi, Jun Akiba, Yoshito Akagi, Hirohisa Yano. Insulinoma\u2011associated protein 1 (INSM1) is a useful marker for pancreatic neuroendocrine tumor. 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Association between PD-L1 expression combined with tumor-infiltrating lymphocytes and the prognosis of patients with advanced hypopharyngeal squamous cell carcinoma. Oncotarget, 8 (54), 92699-92714, 2017.<\/li>\n<li>Tomohiro Shibata, Kosuke Watari, Hiroto Izumi, Akihiko Kawahara, Satoshi Hattori, Chihiro Fukumitsu, Yuichi Murakami, Ryuji Takahashi, Uhi Toh, Ken-ichi Ito, Shigehiro Ohdo, Maki Tanaka, Masayoshi Kage, Michihiko Kuwano, and Mayumi Ono. Breast Cancer Resistance to Antiestrogens Is Enhanced by Increased ER Degradation and ERBB2 Expression. Cancer Research 77, 545-556, 2017.<\/li>\n<li>Hattori, S. and Zhou, X-H (2017). Meta-analysis of prognostic studies evaluating time-dependent diagnostic and predictive capacities of biomarkers. Matsui S. and Crowley J. J., editors, Frontiers of Biostatistical Methods and Applications in Clinical Oncology, pp257-276, Springer Monograph.<\/li>\n<li>Komukai S and *Hattori S. Doubly robust estimators for net survival rates in analyses of cancer registry data. Biometrics 73, 124\u2013133, 2017.<\/li>\n<\/ul><\/div>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"\u672c\u8b1b\u5ea7\u306e\u30e1\u30f3\u30d0\u30fc\u304c\u6700\u8fd1\u884c\u3063\u3066\u3044\u308b\u7814\u7a76\u3092\u7d39\u4ecb\u3057\u307e\u3059\u3002","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.med.osaka-u.ac.jp\/pub\/biostat\/wp-json\/wp\/v2\/pages\/10"}],"collection":[{"href":"https:\/\/www.med.osaka-u.ac.jp\/pub\/biostat\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.med.osaka-u.ac.jp\/pub\/biostat\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.med.osaka-u.ac.jp\/pub\/biostat\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.med.osaka-u.ac.jp\/pub\/biostat\/wp-json\/wp\/v2\/comments?post=10"}],"version-history":[{"count":61,"href":"https:\/\/www.med.osaka-u.ac.jp\/pub\/biostat\/wp-json\/wp\/v2\/pages\/10\/revisions"}],"predecessor-version":[{"id":6310,"href":"https:\/\/www.med.osaka-u.ac.jp\/pub\/biostat\/wp-json\/wp\/v2\/pages\/10\/revisions\/6310"}],"wp:attachment":[{"href":"https:\/\/www.med.osaka-u.ac.jp\/pub\/biostat\/wp-json\/wp\/v2\/media?parent=10"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}