{"id":4045,"date":"2025-06-21T20:47:51","date_gmt":"2025-06-21T11:47:51","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/?p=4045"},"modified":"2025-06-21T20:47:53","modified_gmt":"2025-06-21T11:47:53","slug":"cluster-randomized-controlled-trial-basics-research-design-and-appropriate-sample-size-calculation","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/cluster-randomized-controlled-trial-basics-research-design-and-appropriate-sample-size-calculation\/","title":{"rendered":"\u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\u306e\u57fa\u790e\uff1a\u7814\u7a76\u30c7\u30b6\u30a4\u30f3\u3068\u9069\u5207\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97"},"content":{"rendered":"\n<p>\u5f93\u6765\u306e\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\uff08RCT\uff09\u306f\u3001\u500b\u3005\u306e\u53c2\u52a0\u8005\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u30b0\u30eb\u30fc\u30d7\u306b\u5272\u308a\u4ed8\u3051\u308b\u3053\u3068\u3067\u3001\u4ecb\u5165\u306e\u52b9\u679c\u3092\u516c\u5e73\u306b\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306e\u5f37\u529b\u306a\u624b\u6cd5\u3067\u3042\u308b\u3002\u3057\u304b\u3057\u3001\u533b\u7642\u3084\u6559\u80b2\u306e\u73fe\u5834\u3067\u306f\u3001\u500b\u4eba\u3067\u306f\u306a\u304f<strong>\u30b0\u30eb\u30fc\u30d7\uff08\u30af\u30e9\u30b9\u30bf\u30fc\uff09\u5358\u4f4d\u3067\u4ecb\u5165\u304c\u884c\u308f\u308c\u308b<\/strong>\u3053\u3068\u304c\u5c11\u306a\u304f\u306a\u3044\u3002\u3053\u306e\u3088\u3046\u306a\u72b6\u6cc1\u3067\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316\u3092\u884c\u3046\u3068\u3001\u502b\u7406\u7684\u3001\u5b9f\u52d9\u7684\u306a\u554f\u984c\u304c\u751f\u3058\u305f\u308a\u3001\u7d50\u679c\u306e\u89e3\u91c8\u3092\u8aa4\u3063\u305f\u308a\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002\u305d\u3053\u3067\u767b\u5834\u3059\u308b\u306e\u304c<strong>\u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\uff08CRCT\uff09<\/strong>\u3067\u3042\u308b\u3002\u672c\u7a3f\u3067\u306f\u3001CRCT\u306e\u6982\u8981\u3001\u305d\u306e\u5fc5\u8981\u6027\u3001\u5177\u4f53\u7684\u306a\u5fdc\u7528\u4f8b\u3001\u7d71\u8a08\u89e3\u6790\u306b\u304a\u3051\u308b\u6ce8\u610f\u70b9\u3001\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u6570\u8a08\u7b97\u306b\u3064\u3044\u3066\u89e3\u8aac\u3059\u308b\u3002<\/p>\n\n\n\n<!--more-->\n\n\n\n<h2 class=\"wp-block-heading\">\u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\u306e\u6982\u8981<\/h2>\n\n\n\n<p><strong>\u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\uff08CRCT\uff09<strong>\u3068\u306f\u3001\u500b\u4eba\u3067\u306f\u306a\u304f<\/strong>\u5b66\u6821\u3001\u75c5\u9662\u3001\u5730\u57df\u3001\u75c5\u68df\u306a\u3069\u306e\u96c6\u56e3\uff08\u30af\u30e9\u30b9\u30bf\u30fc\uff09\u3092\u5358\u4f4d\u3068\u3057\u3066\u3001\u4ecb\u5165\u7fa4\u3068\u5bfe\u7167\u7fa4\u306b\u30e9\u30f3\u30c0\u30e0\u306b\u5272\u308a\u4ed8\u3051\u308b<\/strong>\u8a66\u9a13\u30c7\u30b6\u30a4\u30f3\u3067\u3042\u308b\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u4ecb\u5165\u304c\u30af\u30e9\u30b9\u30bf\u30fc\u5168\u4f53\u306b\u9069\u7528\u3055\u308c\u308b\u72b6\u6cc1\u306b\u304a\u3044\u3066\u3001\u30e9\u30f3\u30c0\u30e0\u5316\u306e\u5229\u70b9\u3092\u7dad\u6301\u3057\u3064\u3064\u3001\u5b9f\u74b0\u5883\u306b\u8fd1\u3044\u5f62\u3067\u306e\u8a55\u4fa1\u304c\u53ef\u80fd\u3068\u306a\u308b\u3002<\/p>\n\n\n\n<p>CRCT\u304c\u7279\u306b\u6709\u52b9\u306a\u306e\u306f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u30b1\u30fc\u30b9\u3067\u3042\u308b\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u4ecb\u5165\u304c\u500b\u4eba\u30ec\u30d9\u30eb\u3067\u306f\u9069\u7528\u56f0\u96e3\u306a\u5834\u5408<\/strong>: \u4f8b\u3048\u3070\u3001\u3042\u308b\u5065\u5eb7\u6559\u80b2\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b66\u6821\u5168\u4f53\u306b\u5c0e\u5165\u3059\u308b\u5834\u5408\u306a\u3069\u3002<\/li>\n\n\n\n<li><strong>\u4ecb\u5165\u306b\u3088\u308b\u30b3\u30f3\u30bf\u30df\u30cd\u30fc\u30b7\u30e7\u30f3\uff08contamination\uff09\u306e\u30ea\u30b9\u30af\u304c\u3042\u308b\u5834\u5408<\/strong>: \u540c\u4e00\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u3067\u500b\u4eba\u3092\u30e9\u30f3\u30c0\u30e0\u5316\u3059\u308b\u3068\u3001\u4ecb\u5165\u3092\u53d7\u3051\u305f\u4eba\u304c\u5bfe\u7167\u7fa4\u306e\u500b\u4eba\u306b\u5f71\u97ff\u3092\u4e0e\u3048\u3066\u3057\u307e\u3046\u53ef\u80fd\u6027\uff08\u4f8b\uff1a\u60c5\u5831\u5171\u6709\uff09\u304c\u3042\u308b\u5834\u5408\u3002<\/li>\n\n\n\n<li><strong>\u502b\u7406\u7684\u306a\u914d\u616e\u304c\u5fc5\u8981\u306a\u5834\u5408<\/strong>: \u7279\u5b9a\u306e\u30b0\u30eb\u30fc\u30d7\u5168\u4f53\u306b\u4ecb\u5165\u3092\u9069\u7528\u3059\u308b\u65b9\u304c\u502b\u7406\u7684\u306b\u9069\u5207\u3067\u3042\u308b\u3068\u5224\u65ad\u3055\u308c\u308b\u5834\u5408\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u306a\u3044\u3068\u3069\u306e\u3088\u3046\u306b\u4e0d\u9069\u5207\u306b\u306a\u308b\u304b<\/h2>\n\n\n\n<p>CRCT\u306b\u304a\u3044\u3066\u30af\u30e9\u30b9\u30bf\u30fc\u69cb\u9020\u3092\u9069\u5207\u306b\u8003\u616e\u3057\u306a\u3044\u3068\u3001\u4e3b\u306b\u4ee5\u4e0b\u306e2\u3064\u306e\u70b9\u3067\u4e0d\u9069\u5207\u306a\u7d50\u679c\u3092\u62db\u304f\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">1. \u72ec\u7acb\u6027\u306e\u4eee\u5b9a\u9055\u53cd\u3068\u6a19\u6e96\u8aa4\u5dee\u306e\u904e\u5c0f\u8a55\u4fa1<\/h3>\n\n\n\n<p>\u5f93\u6765\u306eRCT\u3067\u306f\u3001\u5404\u53c2\u52a0\u8005\u306e\u30c7\u30fc\u30bf\u306f\u4e92\u3044\u306b\u72ec\u7acb\u3057\u3066\u3044\u308b\u3068\u4eee\u5b9a\u3055\u308c\u308b\u3002\u3057\u304b\u3057\u3001CRCT\u3067\u306f\u540c\u4e00\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u500b\u4eba\u306f\u3001<strong>\u5171\u901a\u306e\u74b0\u5883\u3084\u7279\u6027\u3092\u5171\u6709\u3057\u3066\u3044\u308b\u305f\u3081\u3001\u4e92\u3044\u306b\u4f3c\u901a\u3063\u305f\u7d50\u679c\u3092\u793a\u3059\u50be\u5411\u304c\u3042\u308b<\/strong>\u3002\u3053\u308c\u3092<strong>\u7d1a\u5185\u76f8\u95a2\uff08Intraclass Correlation Coefficient: ICC\uff09<\/strong>\u3068\u547c\u3076\u3002ICC\u304c\u5b58\u5728\u3059\u308b\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u69cb\u9020\u3092\u7121\u8996\u3057\u3066\u89e3\u6790\u3092\u884c\u3046\u3068\u3001\u4ee5\u4e0b\u306e\u554f\u984c\u304c\u751f\u3058\u308b\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u72ec\u7acb\u6027\u306e\u4eee\u5b9a\u9055\u53cd<\/strong>: \u7d71\u8a08\u89e3\u6790\u306e\u591a\u304f\u306e\u624b\u6cd5\u306f\u30c7\u30fc\u30bf\u306e\u72ec\u7acb\u6027\u3092\u524d\u63d0\u3068\u3057\u3066\u3044\u308b\u304c\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u30c7\u30fc\u30bf\u3067\u306f\u3053\u306e\u524d\u63d0\u3092\u6e80\u305f\u3057\u3066\u3044\u306a\u3044\u3002<\/li>\n\n\n\n<li><strong>\u6a19\u6e96\u8aa4\u5dee\u306e\u904e\u5c0f\u8a55\u4fa1<\/strong>: \u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u30c7\u30fc\u30bf\u304c\u4f3c\u3066\u3044\u308b\u305f\u3081\u3001\u5b9f\u8cea\u7684\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306f\u500b\u4eba\u306e\u6570\u3088\u308a\u3082\u5c11\u306a\u304f\u306a\u308b\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u7121\u8996\u3059\u308b\u3068\u3001\u898b\u304b\u3051\u4e0a\u3001\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5927\u304d\u304f\u306a\u308a\u3001\u7d50\u679c\u3068\u3057\u3066\u6a19\u6e96\u8aa4\u5dee\u304c\u904e\u5c0f\u8a55\u4fa1\u3055\u308c\u308b\u3002<\/li>\n\n\n\n<li><strong>\u7b2c1\u7a2e\u306e\u904e\u8aa4\uff08\u507d\u967d\u6027\uff09\u306e\u5897\u52a0<\/strong>: \u6a19\u6e96\u8aa4\u5dee\u306e\u904e\u5c0f\u8a55\u4fa1\u306f\u3001\u7d71\u8a08\u7684\u6709\u610f\u5dee\u3092\u904e\u5270\u306b\u691c\u51fa\u3057\u3084\u3059\u304f\u306a\u308a\u3001\u8aa4\u3063\u3066\u4ecb\u5165\u52b9\u679c\u304c\u3042\u308b\u3068\u7d50\u8ad6\u4ed8\u3051\u3066\u3057\u307e\u3046\u53ef\u80fd\u6027\u3092\u9ad8\u3081\u308b\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">2. \u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306e\u8a08\u7b97\u306e\u8aa4\u308a<\/h3>\n\n\n\n<p>\u5b9f\u8cea\u7684\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5c11\u306a\u304f\u306a\u308b\u3068\u3044\u3046\u7406\u7531\u304b\u3089\u3001CRCT\u3067\u306f\u3001\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316\u306b\u6bd4\u3079\u3066<strong>\u3088\u308a\u5927\u304d\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5fc5\u8981<\/strong>\u3068\u306a\u308b\u3002\u306a\u306e\u3067\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u69cb\u9020\u3092\u8003\u616e\u305b\u305a\u306b\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3092\u8a08\u7b97\u3059\u308b\u3068\u3001\u5fc5\u8981\u306a\u691c\u51fa\u529b\uff08\u771f\u306e\u52b9\u679c\u3092\u691c\u51fa\u3059\u308b\u80fd\u529b\uff09\u3092\u78ba\u4fdd\u3067\u304d\u305a\u3001<strong>\u7b2c2\u7a2e\u306e\u904e\u8aa4\uff08\u507d\u9670\u6027\uff09<\/strong>\u306e\u30ea\u30b9\u30af\u304c\u9ad8\u307e\u308b\u3002\u3064\u307e\u308a\u3001\u771f\u306e\u52b9\u679c\u304c\u3042\u308b\u306b\u3082\u304b\u304b\u308f\u3089\u305a\u3001\u305d\u308c\u3092\u898b\u9003\u3057\u3066\u3057\u307e\u3046\u53ef\u80fd\u6027\u304c\u5897\u5927\u3059\u308b\u308f\u3051\u3067\u3042\u308b\u3002<\/p>\n\n\n\n<div id=\"biost-1148287090\" class=\"biost- biost-entity-placement\"><p style=\"text-align: center;\"><span style=\"font-size: 20px;\"><strong><a href=\"https:\/\/best-biostatistics.com\/kmhl\">\uff1e\uff1e\u3082\u3046\u7d71\u8a08\u3067\u60a9\u3080\u306e\u306f\u7d42\u308f\u308a\u306b\u3057\u307e\u305b\u3093\u304b\uff1f\u00a0<\/a><\/strong><\/span><\/p>\r\n<a href=\"https:\/\/best-biostatistics.com\/kmhl\"><img class=\"aligncenter wp-image-2794 size-full\" src=\"https:\/\/best-biostatistics.com\/wp\/wp-content\/uploads\/2023\/11\/bn_r_03.png\" alt=\"\" width=\"500\" height=\"327\" \/><\/a>\r\n<p style=\"text-align: center;\"><span style=\"color: #ff0000; font-size: 20px;\"><strong><span class=\"marker2\">\u21911\u4e07\u4eba\u4ee5\u4e0a\u306e\u533b\u7642\u5f93\u4e8b\u8005\u304c\u8cfc\u8aad\u4e2d<\/span><\/strong><\/span><\/p><\/div><h2 class=\"wp-block-heading\">\u30af\u30e9\u30b9\u30bf\u30fcRCT\u304c\u983b\u7e41\u306b\u4f7f\u308f\u308c\u308b\u5206\u91ce\u306b\u304a\u3051\u308b\u5177\u4f53\u4f8b<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">\u770b\u8b77\u5206\u91ce\u306b\u304a\u3051\u308b\u5177\u4f53\u4f8b<\/h3>\n\n\n\n<p><strong>\u30c6\u30fc\u30de<\/strong>: \u65b0\u3057\u3044\u60a3\u8005\u6559\u80b2\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u60a3\u8005\u306e\u81ea\u5df1\u52b9\u529b\u611f\u306b\u4e0e\u3048\u308b\u5f71\u97ff<\/p>\n\n\n\n<p><strong>\u7814\u7a76\u30c7\u30b6\u30a4\u30f3<\/strong>: \u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13<\/p>\n\n\n\n<p><strong>\u4ecb\u5165<\/strong>: \u7279\u5b9a\u306e\u75c5\u68df\u306b\u6240\u5c5e\u3059\u308b\u770b\u8b77\u5e2b\u306b\u5bfe\u3057\u3066\u3001\u65b0\u3057\u3044\u7cd6\u5c3f\u75c5\u60a3\u8005\u6559\u80b2\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5c0e\u5165\u3059\u308b\u3002\u5bfe\u7167\u75c5\u68df\u3067\u306f\u5f93\u6765\u306e\u6559\u80b2\u3092\u7d99\u7d9a\u3059\u308b\u3002<\/p>\n\n\n\n<p><strong>\u30af\u30e9\u30b9\u30bf\u30fc<\/strong>: \u5404\u75c5\u68df<\/p>\n\n\n\n<p><strong>\u9078\u629e\u7406\u7531<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u4ecb\u5165\u306e\u6027\u8cea<\/strong>: \u60a3\u8005\u6559\u80b2\u30d7\u30ed\u30b0\u30e9\u30e0\u306f\u3001\u75c5\u68df\u5185\u306e\u770b\u8b77\u5e2b\u5168\u4f53\u306b\u7814\u4fee\u3068\u3057\u3066\u63d0\u4f9b\u3055\u308c\u3001\u305d\u306e\u75c5\u68df\u306b\u5165\u9662\u3059\u308b\u60a3\u8005\u5168\u4f53\u306b\u9069\u7528\u3055\u308c\u308b\u305f\u3081\u3001\u500b\u4eba\u5358\u4f4d\u3067\u306e\u30e9\u30f3\u30c0\u30e0\u5316\u306f\u5b9f\u7528\u7684\u3067\u306a\u3044\u3002<\/li>\n\n\n\n<li><strong>\u30b3\u30f3\u30bf\u30df\u30cd\u30fc\u30b7\u30e7\u30f3\u306e\u56de\u907f<\/strong>: \u540c\u3058\u75c5\u68df\u5185\u3067\u4e00\u90e8\u306e\u770b\u8b77\u5e2b\u3060\u3051\u304c\u65b0\u3057\u3044\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5c0e\u5165\u3057\u3001\u4ed6\u306e\u770b\u8b77\u5e2b\u304c\u5f93\u6765\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u7d9a\u3051\u308b\u3068\u3001\u770b\u8b77\u5e2b\u9593\u306e\u60c5\u5831\u4ea4\u63db\u306b\u3088\u3063\u3066\u4ecb\u5165\u304c\u5bfe\u7167\u7fa4\u306b\u5e83\u304c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002\u75c5\u68df\u5358\u4f4d\u3067\u30e9\u30f3\u30c0\u30e0\u5316\u3059\u308b\u3053\u3068\u3067\u3001\u3053\u306e\u30ea\u30b9\u30af\u3092\u4f4e\u6e1b\u3067\u304d\u308b\u3002<\/li>\n\n\n\n<li><strong>\u502b\u7406\u7684\u914d\u616e<\/strong>: \u7279\u5b9a\u306e\u75c5\u68df\u5168\u4f53\u3067\u65b0\u3057\u3044\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5c0e\u5165\u3059\u308b\u65b9\u304c\u3001\u502b\u7406\u7684\u306b\u53d7\u3051\u5165\u308c\u3089\u308c\u3084\u3059\u3044\u5834\u5408\u304c\u3042\u308b\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u6559\u80b2\u5206\u91ce\u306b\u304a\u3051\u308b\u5177\u4f53\u4f8b<\/h3>\n\n\n\n<p><strong>\u30c6\u30fc\u30de<\/strong>: \u30a2\u30af\u30c6\u30a3\u30d6\u30e9\u30fc\u30cb\u30f3\u30b0\u5c0e\u5165\u304c\u9ad8\u6821\u751f\u306e\u5b66\u7fd2\u610f\u6b32\u306b\u4e0e\u3048\u308b\u5f71\u97ff<\/p>\n\n\n\n<p><strong>\u7814\u7a76\u30c7\u30b6\u30a4\u30f3<\/strong>: \u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13<\/p>\n\n\n\n<p><strong>\u4ecb\u5165<\/strong>: \u7279\u5b9a\u306e\u9ad8\u7b49\u5b66\u6821\u306b\u5c5e\u3059\u308b\u30af\u30e9\u30b9\u306b\u5bfe\u3057\u3066\u3001\u30a2\u30af\u30c6\u30a3\u30d6\u30e9\u30fc\u30cb\u30f3\u30b0\u3092\u5c0e\u5165\u3059\u308b\u3002\u5bfe\u7167\u30af\u30e9\u30b9\u3067\u306f\u5f93\u6765\u578b\u306e\u6388\u696d\u3092\u7d99\u7d9a\u3059\u308b\u3002<\/p>\n\n\n\n<p><strong>\u30af\u30e9\u30b9\u30bf\u30fc<\/strong>: \u5404\u30af\u30e9\u30b9<\/p>\n\n\n\n<p><strong>\u9078\u629e\u7406\u7531\uff1a<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u4ecb\u5165\u306e\u6027\u8cea<\/strong>: \u30a2\u30af\u30c6\u30a3\u30d6\u30e9\u30fc\u30cb\u30f3\u30b0\u306f\u3001\u30af\u30e9\u30b9\u5358\u4f4d\u3067\u884c\u308f\u308c\u308b\u6388\u696d\u5f62\u614b\u3067\u3042\u308a\u3001\u500b\u4eba\u5358\u4f4d\u3067\u306e\u9069\u7528\u306f\u56f0\u96e3\u3067\u3042\u308b\u3002<\/li>\n\n\n\n<li><strong>\u30b3\u30f3\u30bf\u30df\u30cd\u30fc\u30b7\u30e7\u30f3\u306e\u56de\u907f<\/strong>: \u540c\u4e00\u306e\u5b66\u6821\u5185\u3067\u500b\u4eba\u3092\u30e9\u30f3\u30c0\u30e0\u5316\u3059\u308b\u3068\u3001\u4ecb\u5165\u7fa4\u306e\u751f\u5f92\u3068\u5bfe\u7167\u7fa4\u306e\u751f\u5f92\u304c\u4ea4\u6d41\u3059\u308b\u3053\u3068\u3067\u3001\u5b66\u7fd2\u65b9\u6cd5\u3084\u60c5\u5831\u304c\u5171\u6709\u3055\u308c\u3001\u5bfe\u7167\u7fa4\u306b\u3082\u5f71\u97ff\u304c\u53ca\u3076\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002\u30af\u30e9\u30b9\u5358\u4f4d\u3067\u306e\u30e9\u30f3\u30c0\u30e0\u5316\u306b\u3088\u308a\u3001\u3053\u306e\u30b3\u30f3\u30bf\u30df\u30cd\u30fc\u30b7\u30e7\u30f3\u3092\u9632\u3050\u3002<\/li>\n\n\n\n<li><strong>\u5b9f\u7528\u6027<\/strong>: \u30af\u30e9\u30b9\u5358\u4f4d\u3067\u4ecb\u5165\u3092\u5c0e\u5165\u3059\u308b\u65b9\u304c\u3001\u5b66\u6821\u904b\u55b6\u3084\u6559\u5e2b\u306e\u8ca0\u62c5\u304c\u5c11\u306a\u304f\u3001\u5b9f\u7528\u7684\u3067\u3042\u308b\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">\u5177\u4f53\u4f8b\u306eR\u306b\u3088\u308b\u8a08\u7b97\u4f8b<\/h2>\n\n\n\n<p>\u3053\u3053\u3067\u306f\u3001\u4e0a\u8a18\u306e\u770b\u8b77\u5206\u91ce\u304a\u3088\u3073\u6559\u80b2\u5206\u91ce\u306e\u4f8b\u3092\u60f3\u5b9a\u3057\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\u306b\u304a\u3051\u308b\u4e00\u822c\u7684\u306a\u30c7\u30fc\u30bf\u69cb\u9020\u3068\u3001\u305d\u308c\u3092\u8003\u616e\u3057\u305f\u89e3\u6790\u306e\u6982\u5ff5\u3092R\u3067\u793a\u3059\u3002\u5177\u4f53\u7684\u306b\u306f\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u52b9\u679c\u3092\u8003\u616e\u3067\u304d\u308b\u6df7\u5408\u52b9\u679c\u30e2\u30c7\u30eb\uff08Mixed-effects model\uff09\u306e\u57fa\u672c\u7684\u306a\u4f7f\u7528\u4f8b\u3067\u3042\u308b\u3002\u30c7\u30fc\u30bf\u306f\u67b6\u7a7a\u306e\u3082\u306e\u3067\u3042\u308b\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u770b\u8b77\u5206\u91ce\u306e\u4f8b\uff08\u60a3\u8005\u306e\u81ea\u5df1\u52b9\u529b\u611f\uff09<\/h3>\n\n\n\n<pre class=\"wp-block-code\"><code># \u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff06\u30ed\u30fc\u30c9\uff08\u521d\u56de\u306e\u307f\uff09\n# install.packages(\"lme4\")\n# install.packages(\"lmerTest\")\n# install.packages(\"dplyr\")\nlibrary(lme4)\nlibrary(lmerTest)\nlibrary(dplyr) # \u30c7\u30fc\u30bf\u64cd\u4f5c\u306e\u305f\u3081\n\n# \u67b6\u7a7a\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\nset.seed(123) # \u518d\u73fe\u6027\u306e\u305f\u3081\u306e\u30b7\u30fc\u30c9\u8a2d\u5b9a\n\n# 20\u75c5\u68df\uff08\u30af\u30e9\u30b9\u30bf\u30fc\uff09\u3092\u60f3\u5b9a\u3001\u5404\u75c5\u68df\u306b30\u4eba\u306e\u60a3\u8005\nn_clusters_nursing &lt;- 20\npatients_per_cluster_nursing &lt;- 30\nn_total_patients_nursing &lt;- n_clusters_nursing * patients_per_cluster_nursing\n\n# \u75c5\u68dfID\u3068\u60a3\u8005ID\ndf_nursing &lt;- data.frame(\n    patient_id = 1:n_total_patients_nursing,\n    cluster_id = rep(1:n_clusters_nursing, each = patients_per_cluster_nursing)\n)\n\n# \u4ecb\u5165\u7fa4\u3068\u5bfe\u7167\u7fa4\u306b\u30e9\u30f3\u30c0\u30e0\u306b\u75c5\u68df\u3092\u5272\u308a\u4ed8\u3051\n# \u534a\u6570\u306e\u75c5\u68df\u3092\u4ecb\u5165\u7fa4\u3001\u534a\u6570\u3092\u5bfe\u7167\u7fa4\u306b\ntreatment_clusters_nursing &lt;- sample(1:n_clusters_nursing, n_clusters_nursing \/ 2)\ndf_nursing$group &lt;- ifelse(df_nursing$cluster_id %in% treatment_clusters_nursing, \"Intervention\", \"Control\")\n\n# \u75c5\u68df\u3054\u3068\u306e\u81ea\u5df1\u52b9\u529b\u611f\u306e\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u3092\u8a2d\u5b9a\uff08\u7d1a\u5185\u76f8\u95a2\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30c8\uff09\n# \u75c5\u68df\u306b\u3088\u3063\u3066\u81ea\u5df1\u52b9\u529b\u611f\u306e\u5e73\u5747\u304c\u7570\u306a\u308b\u3088\u3046\u306b\u8a2d\u5b9a\ncluster_effect_nursing &lt;- rnorm(n_clusters_nursing, mean = 0, sd = 2) # \u75c5\u68df\u3054\u3068\u306e\u30e9\u30f3\u30c0\u30e0\u52b9\u679c\ndf_nursing$baseline_self_efficacy &lt;- round(50 + cluster_effect_nursing&#91;df_nursing$cluster_id] + rnorm(n_total_patients_nursing, mean = 0, sd = 5))\n\n# \u4ecb\u5165\u52b9\u679c\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30c8\n# \u4ecb\u5165\u7fa4\u306e\u81ea\u5df1\u52b9\u529b\u611f\u304c\u5e73\u5747\u7684\u306b5\u30dd\u30a4\u30f3\u30c8\u5897\u52a0\u3059\u308b\u3068\u4eee\u5b9a\nintervention_effect_nursing &lt;- ifelse(df_nursing$group == \"Intervention\", 5, 0)\n\n# \u7d50\u679c\u5909\u6570\uff08\u6cbb\u7642\u5f8c\u306e\u81ea\u5df1\u52b9\u529b\u611f\uff09\ndf_nursing$post_self_efficacy &lt;- round(df_nursing$baseline_self_efficacy + intervention_effect_nursing + rnorm(n_total_patients_nursing, mean = 0, sd = 8))\n<\/code><\/pre>\n\n\n\n<p><strong>\u89e3\u6790\u4f8b1\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># 1. \u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u306a\u3044\u89e3\u6790\uff08\u4e0d\u9069\u5207\u306a\u65b9\u6cd5\uff09\n# \u5358\u7d14\u306a\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\nlm_model_incorrect_nursing &lt;- lm(post_self_efficacy ~ group, data = df_nursing)\nsummary(lm_model_incorrect_nursing)<\/code><\/pre>\n\n\n\n<p><strong>\u5b9f\u884c\u7d50\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; # 1. \u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u306a\u3044\u89e3\u6790\uff08\u4e0d\u9069\u5207\u306a\u65b9\u6cd5\uff09\n&gt; # \u5358\u7d14\u306a\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\n&gt; lm_model_incorrect_nursing &lt;- lm(post_self_efficacy ~ group, data = df_nursing)\n&gt; summary(lm_model_incorrect_nursing)\n\nCall:\nlm(formula = post_self_efficacy ~ group, data = df_nursing)\n\nResiduals:\n    Min      1Q  Median      3Q     Max \n-34.333  -6.333  -0.333   5.970  28.970 \n\nCoefficients:\n                  Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept)        50.3333     0.5552  90.665  &lt; 2e-16 ***\ngroupIntervention   4.6967     0.7851   5.982 3.79e-09 ***\n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\nResidual standard error: 9.616 on 598 degrees of freedom\nMultiple R-squared:  0.05646,   Adjusted R-squared:  0.05489 \nF-statistic: 35.79 on 1 and 598 DF,  p-value: 3.793e-09<\/code><\/pre>\n\n\n\n<p>\u3053\u306e\u30e2\u30c7\u30eb\u306f\u3001\u500b\u3005\u306e\u60a3\u8005\u304c\u72ec\u7acb\u3057\u3066\u3044\u308b\u3068\u4eee\u5b9a\u3057\u3066\u3044\u308b\u3002\u4ecb\u5165\u52b9\u679c\u306f\u7d71\u8a08\u7684\u306b\u6709\u610f\uff08$ P = 3.79 \\times 10^{-9}$\uff09\u306b\u898b\u3048\u308b\u304b\u3082\u3057\u308c\u306a\u3044\u304c\u3001\u6a19\u6e96\u8aa4\u5dee\uff08Std. Error = 0.7851\uff09\u304c\u904e\u5c0f\u8a55\u4fa1\u3055\u308c\u3066\u3044\u3066\u3001\u6709\u610f\u306b\u306a\u3063\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002<\/p>\n\n\n\n<p><strong>\u89e3\u6790\u4f8b2\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># 2. \u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u305f\u89e3\u6790\uff08\u6df7\u5408\u52b9\u679c\u30e2\u30c7\u30eb\uff09\n# post_self_efficacy\u3092\u76ee\u7684\u5909\u6570\u3001group\u3092\u56fa\u5b9a\u52b9\u679c\u3001cluster_id\u3092\u30e9\u30f3\u30c0\u30e0\u52b9\u679c\u3068\u3057\u3066\u6307\u5b9a\nlmer_model_correct_nursing &lt;- lmer(post_self_efficacy ~ group + (1 | cluster_id), data = df_nursing)\nsummary(lmer_model_correct_nursing)<\/code><\/pre>\n\n\n\n<p><strong>\u5b9f\u884c\u7d50\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; # 2. \u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u305f\u89e3\u6790\uff08\u6df7\u5408\u52b9\u679c\u30e2\u30c7\u30eb\uff09\n&gt; # post_self_efficacy\u3092\u76ee\u7684\u5909\u6570\u3001group\u3092\u56fa\u5b9a\u52b9\u679c\u3001cluster_id\u3092\u30e9\u30f3\u30c0\u30e0\u52b9\u679c\u3068\u3057\u3066\u6307\u5b9a\n&gt; lmer_model_correct_nursing &lt;- lmer(post_self_efficacy ~ group + (1 | cluster_id), data = df_nursing)\n&gt; summary(lmer_model_correct_nursing)\nLinear mixed model fit by REML. t-tests use Satterthwaite's method &#91;\nlmerModLmerTest]\nFormula: post_self_efficacy ~ group + (1 | cluster_id)\n   Data: df_nursing\n\nREML criterion at convergence: 4396.7\n\nScaled residuals: \n    Min      1Q  Median      3Q     Max \n-3.4251 -0.6314  0.0119  0.6674  2.7752 \n\nRandom effects:\n Groups     Name        Variance Std.Dev.\n cluster_id (Intercept)  6.688   2.586   \n Residual               86.421   9.296   \nNumber of obs: 600, groups:  cluster_id, 20\n\nFixed effects:\n                  Estimate Std. Error      df t value Pr(&gt;|t|)    \n(Intercept)        50.3333     0.9782 18.0000  51.455  &lt; 2e-16 ***\ngroupIntervention   4.6967     1.3834 18.0000   3.395  0.00323 ** \n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\nCorrelation of Fixed Effects:\n            (Intr)\ngrpIntrvntn -0.707<\/code><\/pre>\n\n\n\n<p>\u3053\u306e\u30e2\u30c7\u30eb\u3067\u306f\u3001(1 | cluster_id)\u306b\u3088\u3063\u3066\u3001\u5404\u30af\u30e9\u30b9\u30bf\u30fc\uff08\u75c5\u68df\uff09\u304c\u6301\u3064\u56fa\u6709\u306e\u5909\u52d5\u3092\u8003\u616e\u3057\u3066\u3044\u308b\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u6b63\u3057\u3044\u6a19\u6e96\u8aa4\u5dee\u304c\u63a8\u5b9a\u3055\u308c\u3001\u4ecb\u5165\u52b9\u679c\u306e\u63a8\u5b9a\u5024\u304c\u3088\u308a\u4fe1\u983c\u6027\u306e\u9ad8\u3044\u3082\u306e\u3068\u306a\u308b\u3002lmer\u30e2\u30c7\u30eb\u306e\u7d50\u679c\u306f\u3001groupIntervention\u306e\u63a8\u5b9a\u5024\u3068\u305d\u306e\u6a19\u6e96\u8aa4\u5dee\u3001p\u5024\uff08$ P = 0.00323 $\uff09\u3092\u78ba\u8a8d\u3059\u308b\u3002\u7279\u306b\u3001\u6a19\u6e96\u8aa4\u5dee\u304c\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u306a\u3044\u30e2\u30c7\u30eb\u3068\u6bd4\u8f03\u3057\u3066\u5927\u304d\u304f\u306a\u3063\u3066\u3044\u308b\uff08Std. Error = 1.3834 vs. 0.7851\uff09\u3002<\/p>\n\n\n\n<p><strong>ICC \u8a08\u7b97\u4f8b\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># ICC\uff08\u7d1a\u5185\u76f8\u95a2\uff09\u306e\u8a08\u7b97\uff08lme4\u30e2\u30c7\u30eb\u304b\u3089\u53d6\u5f97\uff09\n# \u5206\u6563\u6210\u5206\u304b\u3089ICC\u3092\u8a08\u7b97\nvar_components_nursing &lt;- as.data.frame(VarCorr(lmer_model_correct_nursing))\ncluster_variance_nursing &lt;- var_components_nursing$vcov&#91;var_components_nursing$grp == \"cluster_id\"]\nresidual_variance_nursing &lt;- var_components_nursing$vcov&#91;var_components_nursing$grp == \"Residual\"]\nicc_nursing &lt;- cluster_variance_nursing \/ (cluster_variance_nursing + residual_variance_nursing)\ncat(paste0(\"\u63a8\u5b9a\u3055\u308c\u305f\u7d1a\u5185\u76f8\u95a2 (ICC): \", round(icc_nursing, 3), \"\\n\"))<\/code><\/pre>\n\n\n\n<p><strong>\u5b9f\u884c\u7d50\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; cat(paste0(\"\u63a8\u5b9a\u3055\u308c\u305f\u7d1a\u5185\u76f8\u95a2 (ICC): \", round(icc_nursing, 3), \"\\n\"))\n\u63a8\u5b9a\u3055\u308c\u305f\u7d1a\u5185\u76f8\u95a2 (ICC): 0.072<\/code><\/pre>\n\n\n\n<p>ICC\u304c0\u3088\u308a\u5927\u304d\u3044\u5834\u5408\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u30c7\u30fc\u30bf\u306f\u4e92\u3044\u306b\u76f8\u95a2\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u308b\u3002\u3053\u306eICC\u306e\u5024\u304c\u5927\u304d\u3051\u308c\u3070\u5927\u304d\u3044\u307b\u3069\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u52b9\u679c\u306e\u8003\u616e\u304c\u91cd\u8981\u306b\u306a\u308b\u3002\u7279\u306b\u57fa\u6e96\u306f\u306a\u3044\u304c\u3001ICC \u306e\u6700\u5927\u5024\u304c 1 \u3068\u3044\u3046\u3053\u3068\u304b\u3089\u8003\u3048\u3066\u3001\u4eca\u56de\u306e 0.072 \u306f\u5927\u304d\u304f\u306a\u3044\u5024\u3067\u3042\u308b\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u6559\u80b2\u5206\u91ce\u306e\u4f8b\uff08\u5b66\u7fd2\u610f\u6b32\uff09<\/h3>\n\n\n\n<pre class=\"wp-block-code\"><code># \u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff06\u30ed\u30fc\u30c9\uff08\u521d\u56de\u306e\u307f\uff09\n# install.packages(\"lme4\")\n# install.packages(\"lmerTest\")\n# install.packages(\"dplyr\")\nlibrary(lme4)\nlibrary(lmerTest)\nlibrary(dplyr) # \u30c7\u30fc\u30bf\u64cd\u4f5c\u306e\u305f\u3081\n\n# \u67b6\u7a7a\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f5c\u6210\nset.seed(456) # \u518d\u73fe\u6027\u306e\u305f\u3081\u306e\u30b7\u30fc\u30c9\u8a2d\u5b9a\n\n# 30\u30af\u30e9\u30b9\uff08\u30af\u30e9\u30b9\u30bf\u30fc\uff09\u3092\u60f3\u5b9a\u3001\u5404\u30af\u30e9\u30b9\u306b25\u4eba\u306e\u751f\u5f92\nn_clusters_education &lt;- 30\nstudents_per_cluster_education &lt;- 25\nn_total_students_education &lt;- n_clusters_education * students_per_cluster_education\n\n# \u30af\u30e9\u30b9ID\u3068\u751f\u5f92ID\ndf_education &lt;- data.frame(\n  student_id = 1:n_total_students_education,\n  cluster_id = rep(1:n_clusters_education, each = students_per_cluster_education)\n)\n\n# \u4ecb\u5165\u7fa4\u3068\u5bfe\u7167\u7fa4\u306b\u30e9\u30f3\u30c0\u30e0\u306b\u30af\u30e9\u30b9\u3092\u5272\u308a\u4ed8\u3051\n# \u534a\u6570\u306e\u30af\u30e9\u30b9\u3092\u4ecb\u5165\u7fa4\u3001\u534a\u6570\u3092\u5bfe\u7167\u7fa4\u306b\ntreatment_clusters_education &lt;- sample(1:n_clusters_education, n_clusters_education \/ 2)\ndf_education$group &lt;- ifelse(df_education$cluster_id %in% treatment_clusters_education, \"Intervention\", \"Control\")\n\n# \u30af\u30e9\u30b9\u3054\u3068\u306e\u5b66\u7fd2\u610f\u6b32\u306e\u30d9\u30fc\u30b9\u30e9\u30a4\u30f3\u3092\u8a2d\u5b9a\uff08\u7d1a\u5185\u76f8\u95a2\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30c8\uff09\n# \u30af\u30e9\u30b9\u306b\u3088\u3063\u3066\u5b66\u7fd2\u610f\u6b32\u306e\u5e73\u5747\u304c\u7570\u306a\u308b\u3088\u3046\u306b\u8a2d\u5b9a\ncluster_effect_education &lt;- rnorm(n_clusters_education, mean = 0, sd = 1.5) # \u30af\u30e9\u30b9\u3054\u3068\u306e\u30e9\u30f3\u30c0\u30e0\u52b9\u679c\ndf_education$baseline_motivation &lt;- round(60 + cluster_effect_education&#91;df_education$cluster_id] + rnorm(n_total_students_education, mean = 0, sd = 6))\n\n# \u4ecb\u5165\u52b9\u679c\u3092\u30b7\u30df\u30e5\u30ec\u30fc\u30c8\n# \u4ecb\u5165\u7fa4\u306e\u5b66\u7fd2\u610f\u6b32\u304c\u5e73\u5747\u7684\u306b4\u30dd\u30a4\u30f3\u30c8\u5897\u52a0\u3059\u308b\u3068\u4eee\u5b9a\nintervention_effect_education &lt;- ifelse(df_education$group == \"Intervention\", 4, 0)\n\n# \u7d50\u679c\u5909\u6570\uff08\u6cbb\u7642\u5f8c\u306e\u5b66\u7fd2\u610f\u6b32\uff09\ndf_education$post_motivation &lt;- round(df_education$baseline_motivation + intervention_effect_education + rnorm(n_total_students_education, mean = 0, sd = 7))\n<\/code><\/pre>\n\n\n\n<p><strong>\u89e3\u6790\u4f8b1\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># 1. \u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u306a\u3044\u89e3\u6790\uff08\u4e0d\u9069\u5207\u306a\u65b9\u6cd5\uff09\n# \u5358\u7d14\u306a\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\nlm_model_incorrect_education &lt;- lm(post_motivation ~ group, data = df_education)\nsummary(lm_model_incorrect_education)<\/code><\/pre>\n\n\n\n<p><strong>\u5b9f\u884c\u7d50\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; # 1. \u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u306a\u3044\u89e3\u6790\uff08\u4e0d\u9069\u5207\u306a\u65b9\u6cd5\uff09\n&gt; # \u5358\u7d14\u306a\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\n&gt; lm_model_incorrect_education &lt;- lm(post_motivation ~ group, data = df_education)\n&gt; summary(lm_model_incorrect_education)\n\nCall:\nlm(formula = post_motivation ~ group, data = df_education)\n\nResiduals:\n     Min       1Q   Median       3Q      Max \n-26.0453  -6.0507  -0.0507   6.7007  28.9547 \n\nCoefficients:\n                  Estimate Std. Error t value Pr(&gt;|t|)    \n(Intercept)        61.0507     0.4716  129.44  &lt; 2e-16 ***\ngroupIntervention   2.9947     0.6670    4.49 8.25e-06 ***\n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\nResidual standard error: 9.133 on 748 degrees of freedom\nMultiple R-squared:  0.02624,   Adjusted R-squared:  0.02494 \nF-statistic: 20.16 on 1 and 748 DF,  p-value: 8.253e-06<\/code><\/pre>\n\n\n\n<p>\u3053\u306e\u30e2\u30c7\u30eb\u306f\u3001\u500b\u3005\u306e\u751f\u5f92\u304c\u72ec\u7acb\u3057\u3066\u3044\u308b\u3068\u4eee\u5b9a\u3057\u3066\u3044\u308b\u3002\u4ecb\u5165\u52b9\u679c\u306f\u7d71\u8a08\u7684\u306b\u6709\u610f\uff08$ P = 8.25 \\times 10^{-6} $\uff09\u306b\u898b\u3048\u308b\u304b\u3082\u3057\u308c\u306a\u3044\u304c\u3001\u6a19\u6e96\u8aa4\u5dee\u304c\u904e\u5c0f\u8a55\u4fa1\u3055\u308c\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002<\/p>\n\n\n\n<p><strong>\u89e3\u6790\u4f8b2\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># 2. \u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u305f\u89e3\u6790\uff08\u6df7\u5408\u52b9\u679c\u30e2\u30c7\u30eb\uff09\n# post_motivation\u3092\u76ee\u7684\u5909\u6570\u3001group\u3092\u56fa\u5b9a\u52b9\u679c\u3001cluster_id\u3092\u30e9\u30f3\u30c0\u30e0\u52b9\u679c\u3068\u3057\u3066\u6307\u5b9a\nlmer_model_correct_education &lt;- lmer(post_motivation ~ group + (1 | cluster_id), data = df_education)\nsummary(lmer_model_correct_education)<\/code><\/pre>\n\n\n\n<p><strong>\u5b9f\u884c\u7d50\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; # 2. \u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u305f\u89e3\u6790\uff08\u6df7\u5408\u52b9\u679c\u30e2\u30c7\u30eb\uff09\n&gt; # post_motivation\u3092\u76ee\u7684\u5909\u6570\u3001group\u3092\u56fa\u5b9a\u52b9\u679c\u3001cluster_id\u3092\u30e9\u30f3\u30c0\u30e0\u52b9\u679c\u3068\u3057\u3066\u6307\u5b9a\n&gt; lmer_model_correct_education &lt;- lmer(post_motivation ~ group + (1 | cluster_id), data = df_education)\n&gt; summary(lmer_model_correct_education)\nLinear mixed model fit by REML. t-tests use Satterthwaite's method &#91;\nlmerModLmerTest]\nFormula: post_motivation ~ group + (1 | cluster_id)\n   Data: df_education\n\nREML criterion at convergence: 5439\n\nScaled residuals: \n    Min      1Q  Median      3Q     Max \n-2.8209 -0.6873  0.0156  0.7128  3.2312 \n\nRandom effects:\n Groups     Name        Variance Std.Dev.\n cluster_id (Intercept)  2.324   1.524   \n Residual               81.240   9.013   \nNumber of obs: 750, groups:  cluster_id, 30\n\nFixed effects:\n                  Estimate Std. Error      df t value Pr(&gt;|t|)    \n(Intercept)        61.0507     0.6096 28.0000 100.154  &lt; 2e-16 ***\ngroupIntervention   2.9947     0.8621 28.0000   3.474  0.00169 ** \n---\nSignif. codes:  0 \u2018***\u2019 0.001 \u2018**\u2019 0.01 \u2018*\u2019 0.05 \u2018.\u2019 0.1 \u2018 \u2019 1\n\nCorrelation of Fixed Effects:\n            (Intr)\ngrpIntrvntn -0.707<\/code><\/pre>\n\n\n\n<p>\u3053\u306e\u30e2\u30c7\u30eb\u3067\u306f\u3001(1 | cluster_id)\u306b\u3088\u3063\u3066\u3001\u5404\u30af\u30e9\u30b9\u30bf\u30fc\uff08\u30af\u30e9\u30b9\uff09\u304c\u6301\u3064\u56fa\u6709\u306e\u5909\u52d5\u3092\u8003\u616e\u3057\u3066\u3044\u308b\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u6b63\u3057\u3044\u6a19\u6e96\u8aa4\u5dee\u304c\u63a8\u5b9a\u3055\u308c\u3001\u4ecb\u5165\u52b9\u679c\u306e\u63a8\u5b9a\u5024\u304c\u3088\u308a\u4fe1\u983c\u6027\u306e\u9ad8\u3044\u3082\u306e\u3068\u306a\u308b\u3002lmer\u30e2\u30c7\u30eb\u306e\u7d50\u679c\u304b\u3089\u3001groupIntervention\u306e\u63a8\u5b9a\u5024\u3068\u305d\u306e\u6a19\u6e96\u8aa4\u5dee\u3001p\u5024\uff08P = 0.00169\uff09\u3092\u78ba\u8a8d\u3059\u308b\u3068\u3088\u3044\u3002\u7279\u306b\u3001\u6a19\u6e96\u8aa4\u5dee\u304c\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u306a\u3044\u30e2\u30c7\u30eb\u3068\u6bd4\u8f03\u3057\u3066\u5927\u304d\u304f\u306a\u3063\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308b\uff08Std. Error = 0.8621 vs. 0.6670\uff09<\/p>\n\n\n\n<p><strong>ICC \u306e\u8a08\u7b97\u4f8b\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># ICC\uff08\u7d1a\u5185\u76f8\u95a2\uff09\u306e\u8a08\u7b97\uff08lme4\u30e2\u30c7\u30eb\u304b\u3089\u53d6\u5f97\uff09\n# \u5206\u6563\u6210\u5206\u304b\u3089ICC\u3092\u8a08\u7b97\nvar_components_education &lt;- as.data.frame(VarCorr(lmer_model_correct_education))\ncluster_variance_education &lt;- var_components_education$vcov&#91;var_components_education$grp == \"cluster_id\"]\nresidual_variance_education &lt;- var_components_education$vcov&#91;var_components_education$grp == \"Residual\"]\nicc_education &lt;- cluster_variance_education \/ (cluster_variance_education + residual_variance_education)\n\ncat(paste0(\"\u6559\u80b2\u5206\u91ce\u306e\u63a8\u5b9a\u3055\u308c\u305f\u7d1a\u5185\u76f8\u95a2 (ICC): \", round(icc_education, 3), \"\\n\"))<\/code><\/pre>\n\n\n\n<p><strong>\u5b9f\u884c\u7d50\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>&gt; cat(paste0(\"\u63a8\u5b9a\u3055\u308c\u305f\u7d1a\u5185\u76f8\u95a2 (ICC): \", round(icc_education, 3), \"\\n\"))\n\u63a8\u5b9a\u3055\u308c\u305f\u7d1a\u5185\u76f8\u95a2 (ICC): 0.028<\/code><\/pre>\n\n\n\n<p>ICC\u304c0\u3088\u308a\u5927\u304d\u3044\u5834\u5408\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u30c7\u30fc\u30bf\u306f\u4e92\u3044\u306b\u76f8\u95a2\u3057\u3066\u3044\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u3044\u308b\u3002\u3053\u306eICC\u306e\u5024\u304c\u5927\u304d\u3051\u308c\u3070\u5927\u304d\u3044\u307b\u3069\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u52b9\u679c\u306e\u8003\u616e\u304c\u91cd\u8981\u306b\u306a\u308b\u3002ICC \u306e\u6700\u5927\u5024\u304c1\u3068\u8003\u3048\u308b\u3068\u30010.028 \u306f\u6c7a\u3057\u3066\u5927\u304d\u304f\u306f\u306a\u3044\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u6570\u8a08\u7b97<\/h2>\n\n\n\n<p>CRCT\u306b\u304a\u3051\u308b\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306f\u3001\u901a\u5e38\u306eRCT\u3088\u308a\u3082\u8907\u96d1\u3067\u3042\u308b\u3002\u8907\u96d1\u306b\u306a\u308b\u4e3b\u306a\u8981\u56e0\u306f<strong>\u7d1a\u5185\u76f8\u95a2\uff08ICC\uff09<\/strong>\u3067\u3042\u308b\u3002ICC \u304c\u5b58\u5728\u3059\u308b\u3053\u3068\u3067\u3001\u5b9f\u8cea\u7684\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u6e1b\u5c11\u3057\u3001\u3088\u308a\u591a\u304f\u306e\u53c2\u52a0\u8005\u307e\u305f\u306f\u30af\u30e9\u30b9\u30bf\u30fc\u304c\u5fc5\u8981\u306b\u306a\u308b\u3002<\/p>\n\n\n\n<p>CRCT\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u3067\u306f\u3001\u4e3b\u306b\u4ee5\u4e0b\u306e\u8981\u7d20\u3092\u8003\u616e\u3059\u308b\u3002<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>\u671f\u5f85\u3055\u308c\u308b\u52b9\u679c\u91cf\uff08Effect Size\uff09<\/strong>: \u4ecb\u5165\u306b\u3088\u3063\u3066\u671f\u5f85\u3055\u308c\u308b\u52b9\u679c\u306e\u5927\u304d\u3055\u3002<\/li>\n\n\n\n<li><strong>\u6709\u610f\u6c34\u6e96 (\u03b1)<\/strong>: \u7b2c1\u7a2e\u306e\u904e\u8aa4\u3092\u8a31\u5bb9\u3059\u308b\u78ba\u7387\uff08\u901a\u5e38 0.05\uff09\u3002<\/li>\n\n\n\n<li><strong>\u691c\u51fa\u529b (1\u2212\u03b2)<\/strong>: \u771f\u306e\u52b9\u679c\u304c\u5b58\u5728\u3059\u308b\u5834\u5408\u306b\u3001\u305d\u308c\u3092\u691c\u51fa\u3067\u304d\u308b\u78ba\u7387\uff08\u901a\u5e38 0.80 \u307e\u305f\u306f 0.90\uff09\u3002<\/li>\n\n\n\n<li><strong>\u7d1a\u5185\u76f8\u95a2\uff08ICC, \u03c1)<\/strong>: \u540c\u4e00\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u30c7\u30fc\u30bf\u304c\u3069\u306e\u7a0b\u5ea6\u76f8\u95a2\u3057\u3066\u3044\u308b\u304b\u3092\u793a\u3059\u6307\u6a19\u3002\u904e\u53bb\u306e\u7814\u7a76\u3084\u30d1\u30a4\u30ed\u30c3\u30c8\u30b9\u30bf\u30c7\u30a3\u304b\u3089\u63a8\u5b9a\u3059\u308b\u3002ICC\u304c\u9ad8\u3044\u307b\u3069\u3001\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306f\u5927\u304d\u304f\u306a\u308b\u3002<\/li>\n\n\n\n<li><strong>\u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u5e73\u5747\u53c2\u52a0\u8005\u6570\uff08m\uff09<\/strong>: \u5404\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u542b\u307e\u308c\u308b\u500b\u4eba\u306e\u6570\u3002<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">\u30c7\u30b6\u30a4\u30f3\u52b9\u679c\uff08Design Effect: DEFF\uff09<\/h3>\n\n\n\n<p>CRCT\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3092\u8a08\u7b97\u3059\u308b\u969b\u306b\u91cd\u8981\u306a\u6982\u5ff5\u304c<strong>\u30c7\u30b6\u30a4\u30f3\u52b9\u679c\uff08Design Effect: DEFF\uff09<\/strong>\u3067\u3042\u308b\u3002DEFF\u306f\u3001\u7d1a\u5185\u76f8\u95a2\u3092\u8003\u616e\u3057\u306a\u3044\u5834\u5408\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306b\u639b\u3051\u308b\u88dc\u6b63\u4fc2\u6570\u3067\u3042\u308a\u3001\u4ee5\u4e0b\u306e\u5f0f\u3067\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n<p>$$ \\text{DEFF} = 1 + (m &#8211; 1) \\rho $$<\/p>\n\n\n\n<p>\u3053\u3053\u3067\u3001m \u306f\u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u5e73\u5747\u53c2\u52a0\u8005\u6570\u3001\u03c1 \u306f\u7d1a\u5185\u76f8\u95a2\u3067\u3042\u308b\u3002<\/p>\n\n\n\n<p>\u3053\u306eDEFF\u306f\u5e38\u306b1\u4ee5\u4e0a\u3068\u306a\u308a\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u76f8\u95a2\u304c\u5f37\u3044\uff08\u03c1\u304c\u5927\u304d\u3044\uff09\u3001\u307e\u305f\u306f\u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u53c2\u52a0\u8005\u6570\u304c\u591a\u3044\uff08m\u304c\u5927\u304d\u3044\uff09\u307b\u3069\u3001\u30c7\u30b6\u30a4\u30f3\u52b9\u679c\u306f\u5927\u304d\u304f\u306a\u308b\u3002<\/p>\n\n\n\n<p>\u305d\u3057\u3066\u3001CRCT\u3067\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306f\u3001\u901a\u5e38\u306e\u500b\u4eba\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u8a08\u7b97\u3055\u308c\u305f\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u306bDEFF\u3092\u4e57\u3058\u308b\u3053\u3068\u3067\u5f97\u3089\u308c\u308b\u3002<\/p>\n\n\n\n<p>$$ N_{\\text{CRCT}} = N_{\\text{RCT}} \\times \\text{DEFF} = N_{\\text{RCT}} \\times (1 + (m &#8211; 1) \\rho) $$<\/p>\n\n\n\n<p>\u3053\u3053\u3067\u3001$ N_{\\text{CRCT}} $ \u306f CRCT\u3067\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570\u3001$ N_{\\text{RCT}}$ \u306f\u500b\u4eba\u30e9\u30f3\u30c0\u30e0\u5316 RCT \u3067\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">R\u306b\u3088\u308b\u8a08\u7b97\u4f8b<\/h3>\n\n\n\n<p>\u3053\u3053\u3067\u306f\u3001<code>simr<\/code>\u3084<code>pwr<\/code>\u30d1\u30c3\u30b1\u30fc\u30b8\u306a\u3069\u3001\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306b\u5f79\u7acb\u3064R\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u4e00\u90e8\u3092\u5229\u7528\u3057\u305f\u4f8b\u3092\u793a\u3059\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u770b\u8b77\u5206\u91ce\u306eCRCT\u30b5\u30f3\u30d7\u30eb\u6570\u8a08\u7b97\u4f8b<\/h4>\n\n\n\n<pre class=\"wp-block-code\"><code># \u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff06\u30ed\u30fc\u30c9\uff08\u521d\u56de\u306e\u307f\uff09\n# install.packages(\"pwr\") # \u901a\u5e38\u306eRCT\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306b\u5229\u7528\n\nlibrary(pwr)\n\n# --- Step 1: \u901a\u5e38\u306e\u500b\u4eba\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3092\u8a08\u7b97 ---\n# \u60f3\u5b9a\u3055\u308c\u308b\u30b7\u30ca\u30ea\u30aa:\n# - \u6709\u610f\u6c34\u6e96 (alpha) = 0.05\n# - \u691c\u51fa\u529b (power) = 0.80\n# - \u52b9\u679c\u91cf (Cohen's d) = 0.5 (\u4e2d\u7a0b\u5ea6\u306e\u52b9\u679c\u91cf)\n\nn_per_group_RCT_nursing &lt;- pwr.t.test(d = 0.5, sig.level = 0.05, power = 0.80, type = \"two.sample\", alternative = \"two.sided\")$n\n\ncat(paste0(\"\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba: \", ceiling(n_per_group_RCT_nursing), \"\u4eba\\n\"))\ncat(paste0(\"\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u5408\u8a08: \", ceiling(n_per_group_RCT_nursing) * 2, \"\u4eba\\n\\n\"))\n\n# --- Step 2: \u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF) \u3092\u8a08\u7b97\u3057\u3001CRCT\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3092\u63a8\u5b9a ---\n# \u60f3\u5b9a\u3055\u308c\u308bCRCT\u306e\u30d1\u30e9\u30e1\u30fc\u30bf:\n# - \u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u5e73\u5747\u53c2\u52a0\u8005\u6570 (m) = 30\u4eba (\u770b\u8b77\u5206\u91ce\u306e\u4f8b\u306e\u75c5\u68df\u3042\u305f\u308a\u306e\u60a3\u8005\u6570)\n# - \u7d1a\u5185\u76f8\u95a2 (ICC, rho) = 0.06 (\u3088\u304f\u898b\u3089\u308c\u308b\u5024\u3001\u904e\u53bb\u306e\u7814\u7a76\u306b\u57fa\u3065\u304f\u63a8\u5b9a\u3001\u4eca\u56de\u306f\u4e0a\u8a18\u5177\u4f53\u4f8b\u306e\u5024\u3092\u4f7f\u7528)\n\nm_nursing &lt;- 30 # \u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u5e73\u5747\u53c2\u52a0\u8005\u6570\nrho_nursing &lt;- 0.06 # \u7d1a\u5185\u76f8\u95a2 (ICC)\n\n# \u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF) \u306e\u8a08\u7b97\ndesign_effect_nursing &lt;- 1 + (m_nursing - 1) * rho_nursing\ncat(paste0(\"\u8a08\u7b97\u3055\u308c\u305f\u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF): \", round(design_effect_nursing, 2), \"\\n\\n\"))\n\n# CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570\nn_per_group_CRCT_nursing &lt;- ceiling(n_per_group_RCT_nursing * design_effect_nursing)\ncat(paste0(\"CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570: \", n_per_group_CRCT_nursing, \"\u4eba\\n\"))\ncat(paste0(\"CRCT\u3067\u5fc5\u8981\u306a\u500b\u4eba\u6570\u5408\u8a08: \", n_per_group_CRCT_nursing * 2, \"\u4eba\\n\\n\"))\n\n# CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\n# \u5404\u7fa4\u306e\u7dcf\u500b\u4eba\u6570\u3092\u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u4eba\u6570\u3067\u5272\u308b\nn_clusters_per_group_CRCT_nursing &lt;- ceiling(n_per_group_CRCT_nursing \/ m_nursing)\ncat(paste0(\"CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570: \", n_clusters_per_group_CRCT_nursing, \"\u30af\u30e9\u30b9\u30bf\u30fc\\n\"))\ncat(paste0(\"CRCT\u3067\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u5408\u8a08: \", n_clusters_per_group_CRCT_nursing * 2, \"\u30af\u30e9\u30b9\u30bf\u30fc\\n\"))\n<\/code><\/pre>\n\n\n\n<p><strong>\u5b9f\u884c\u7d50\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>> cat(paste0(\"\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba: \", ceiling(n_per_group_RCT_nursing), \"\u4eba\\n\"))\n\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba: 64\u4eba\n> cat(paste0(\"\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u5408\u8a08: \", ceiling(n_per_group_RCT_nursing) * 2, \"\u4eba\\n\\n\"))\n\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u5408\u8a08: 128\u4eba<\/code><\/pre>\n\n\n\n<p>\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u3048\u306a\u3044\u5834\u5408\u3001\u5404\u7fa4 64 \u4eba\u3001\u4e21\u7fa4\u3067 128\u4eba\u5fc5\u8981\u3068\u8a08\u7b97\u3055\u308c\u305f\u3068\u3057\u3088\u3046\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>> # \u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF) \u306e\u8a08\u7b97\n> design_effect_nursing &lt;- 1 + (m_nursing - 1) * rho_nursing\n> cat(paste0(\"\u8a08\u7b97\u3055\u308c\u305f\u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF): \", round(design_effect_nursing, 2), \"\\n\\n\"))\n\u8a08\u7b97\u3055\u308c\u305f\u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF): 2.74<\/code><\/pre>\n\n\n\n<p>\u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u4eba\u6570\u304c 30 \u4eba\u3001ICC \u304c 0.06 \u3068\u3059\u308b\u3068\u3001\u30c7\u30b6\u30a4\u30f3\u52b9\u679c\u306f 2.74 \u3068\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>> # CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570\n> n_per_group_CRCT_nursing &lt;- ceiling(n_per_group_RCT_nursing * design_effect_nursing)\n> cat(paste0(\"CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570: \", n_per_group_CRCT_nursing, \"\u4eba\\n\"))\nCRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570: 175\u4eba\n> cat(paste0(\"CRCT\u3067\u5fc5\u8981\u306a\u500b\u4eba\u6570\u5408\u8a08: \", n_per_group_CRCT_nursing * 2, \"\u4eba\\n\\n\"))\nCRCT\u3067\u5fc5\u8981\u306a\u500b\u4eba\u6570\u5408\u8a08: 350\u4eba<\/code><\/pre>\n\n\n\n<p>\u30c7\u30b6\u30a4\u30f3\u52b9\u679c\u3092\u3001\u5404\u7fa4 64 \u4eba\u3001\u4e21\u7fa4 128 \u4eba\u306b\u639b\u3051\u5408\u308f\u305b\u308b\u3068\u3001\u5404\u7fa4 175 \u4eba\u3001\u4e21\u7fa4 350 \u4eba\u5fc5\u8981\u3068\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>> # CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\n> # \u5404\u7fa4\u306e\u7dcf\u500b\u4eba\u6570\u3092\u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u4eba\u6570\u3067\u5272\u308b\n> n_clusters_per_group_CRCT_nursing &lt;- ceiling(n_per_group_CRCT_nursing \/ m_nursing)\n> cat(paste0(\"CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570: \", n_clusters_per_group_CRCT_nursing, \"\u30af\u30e9\u30b9\u30bf\u30fc\\n\"))\nCRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570: 6\u30af\u30e9\u30b9\u30bf\u30fc\n> cat(paste0(\"CRCT\u3067\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u5408\u8a08: \", n_clusters_per_group_CRCT_nursing * 2, \"\u30af\u30e9\u30b9\u30bf\u30fc\\n\"))\nCRCT\u3067\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u5408\u8a08: 12\u30af\u30e9\u30b9\u30bf\u30fc<\/code><\/pre>\n\n\n\n<p>1 \u30af\u30e9\u30b9\u30bf\u30fc\u304c 30 \u4eba \u3068\u3059\u308b\u3068\u3001\u5404\u7fa4 6 \u30af\u30e9\u30b9\u30bf\u30fc\u3001\u4e21\u7fa4\u3067 12 \u30af\u30e9\u30b9\u30bf\u30fc\u5fc5\u8981\u3068\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">\u6559\u80b2\u5206\u91ce\u306eCRCT\u30b5\u30f3\u30d7\u30eb\u6570\u8a08\u7b97\u4f8b<\/h4>\n\n\n\n<pre class=\"wp-block-code\"><code># \u5fc5\u8981\u306a\u30d1\u30c3\u30b1\u30fc\u30b8\u3092\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\uff06\u30ed\u30fc\u30c9\uff08\u521d\u56de\u306e\u307f\uff09\n# install.packages(\"pwr\") # \u901a\u5e38\u306eRCT\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97\u306b\u5229\u7528\n\nlibrary(pwr)\n\n# --- Step 1: \u901a\u5e38\u306e\u500b\u4eba\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3092\u8a08\u7b97 ---\n# \u60f3\u5b9a\u3055\u308c\u308b\u30b7\u30ca\u30ea\u30aa:\n# - \u6709\u610f\u6c34\u6e96 (alpha) = 0.05\n# - \u691c\u51fa\u529b (power) = 0.80\n# - \u52b9\u679c\u91cf (Cohen's d) = 0.4 (\u3084\u3084\u5c0f\u3055\u3081\u306e\u52b9\u679c\u91cf\u3001\u6559\u80b2\u5206\u91ce\u3067\u306f\u3053\u306e\u304f\u3089\u3044\u304c\u73fe\u5b9f\u7684\u3067\u3042\u308b\u3053\u3068\u304c\u591a\u3044)\n\nn_per_group_RCT_education &lt;- pwr.t.test(d = 0.4, sig.level = 0.05, power = 0.80, type = \"two.sample\", alternative = \"two.sided\")$n\n\ncat(paste0(\"\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba: \", ceiling(n_per_group_RCT_education), \"\u4eba\\n\"))\ncat(paste0(\"\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u5408\u8a08: \", ceiling(n_per_group_RCT_education) * 2, \"\u4eba\\n\\n\"))\n\n# --- Step 2: \u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF) \u3092\u8a08\u7b97\u3057\u3001CRCT\u306e\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3092\u63a8\u5b9a ---\n# \u60f3\u5b9a\u3055\u308c\u308bCRCT\u306e\u30d1\u30e9\u30e1\u30fc\u30bf:\n# - \u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u5e73\u5747\u53c2\u52a0\u8005\u6570 (m) = 25\u4eba (\u6559\u80b2\u5206\u91ce\u306e\u4f8b\u306e\u30af\u30e9\u30b9\u3042\u305f\u308a\u306e\u751f\u5f92\u6570)\n# - \u7d1a\u5185\u76f8\u95a2 (ICC, rho) = 0.03 (\u6559\u80b2\u5206\u91ce\u3067\u306f\u6bd4\u8f03\u7684\u9ad8\u3044ICC\uff08\u4f8b\uff1a0.10 \u7a0b\u5ea6\uff09\u304c\u89b3\u5bdf\u3055\u308c\u308b\u3053\u3068\u304c\u3042\u308b\u304c\u3001\u4eca\u56de\u306f\u4e0a\u8a18\u5177\u4f53\u4f8b\u306e\u4f4e\u3081\u306e\u5024\u3092\u4f7f\u7528)\n\nm_education &lt;- 25 # \u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u5e73\u5747\u53c2\u52a0\u8005\u6570\nrho_education &lt;- 0.03 # \u7d1a\u5185\u76f8\u95a2 (ICC)\n\n# \u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF) \u306e\u8a08\u7b97\ndesign_effect_education &lt;- 1 + (m_education - 1) * rho_education\ncat(paste0(\"\u8a08\u7b97\u3055\u308c\u305f\u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF): \", round(design_effect_education, 2), \"\\n\\n\"))\n\n# CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570\nn_per_group_CRCT_education &lt;- ceiling(n_per_group_RCT_education * design_effect_education)\ncat(paste0(\"CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570: \", n_per_group_CRCT_education, \"\u4eba\\n\"))\ncat(paste0(\"CRCT\u3067\u5fc5\u8981\u306a\u500b\u4eba\u6570\u5408\u8a08: \", n_per_group_CRCT_education * 2, \"\u4eba\\n\\n\"))\n\n# CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\n# \u5404\u7fa4\u306e\u7dcf\u500b\u4eba\u6570\u3092\u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u4eba\u6570\u3067\u5272\u308b\nn_clusters_per_group_CRCT_education &lt;- ceiling(n_per_group_CRCT_education \/ m_education)\ncat(paste0(\"CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570: \", n_clusters_per_group_CRCT_education, \"\u30af\u30e9\u30b9\u30bf\u30fc\\n\"))\ncat(paste0(\"CRCT\u3067\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u5408\u8a08: \", n_clusters_per_group_CRCT_education * 2, \"\u30af\u30e9\u30b9\u30bf\u30fc\\n\"))<\/code><\/pre>\n\n\n\n<p><strong>\u5b9f\u884c\u7d50\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>> cat(paste0(\"\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba: \", ceiling(n_per_group_RCT_education), \"\u4eba\\n\"))\n\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba: 100\u4eba\n> cat(paste0(\"\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u5408\u8a08: \", ceiling(n_per_group_RCT_education) * 2, \"\u4eba\\n\\n\"))\n\u500b\u4eba\u306e\u30e9\u30f3\u30c0\u30e0\u5316RCT\u3067\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u5408\u8a08: 200\u4eba<\/code><\/pre>\n\n\n\n<p>\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u8003\u616e\u3057\u306a\u3044\u3067\u8a08\u7b97\u3059\u308b\u3068\u5404\u7fa4 100 \u4eba\u5fc5\u8981\u3068\u8a08\u7b97\u3055\u308c\u305f\u3068\u3057\u3088\u3046\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>> # \u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF) \u306e\u8a08\u7b97\n> design_effect_education &lt;- 1 + (m_education - 1) * rho_education\n> cat(paste0(\"\u8a08\u7b97\u3055\u308c\u305f\u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF): \", round(design_effect_education, 2), \"\\n\\n\"))\n\u8a08\u7b97\u3055\u308c\u305f\u30c7\u30b6\u30a4\u30f3\u52b9\u679c (DEFF): 1.72<\/code><\/pre>\n\n\n\n<p>\u6b21\u306b\u30011 \u30af\u30e9\u30b9\u30bf\u30fc 25 \u4eba\u3001ICC 0.03 \u7a0b\u5ea6\u3068\u3057\u3066\u3001\u30c7\u30b6\u30a4\u30f3\u52b9\u679c\u3092\u8a08\u7b97\u3059\u308b\u3068 1.72 \u3068\u306a\u308b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>> # CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570\n> n_per_group_CRCT_education &lt;- ceiling(n_per_group_RCT_education * design_effect_education)\n> cat(paste0(\"CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570: \", n_per_group_CRCT_education, \"\u4eba\\n\"))\nCRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u7dcf\u500b\u4eba\u6570: 171\u4eba\n> cat(paste0(\"CRCT\u3067\u5fc5\u8981\u306a\u500b\u4eba\u6570\u5408\u8a08: \", n_per_group_CRCT_education * 2, \"\u4eba\\n\\n\"))\nCRCT\u3067\u5fc5\u8981\u306a\u500b\u4eba\u6570\u5408\u8a08: 342\u4eba<\/code><\/pre>\n\n\n\n<p>\u30c7\u30b6\u30a4\u30f3\u52b9\u679c\u3092\u304b\u3051\u5408\u308f\u305b\u308b\u3068\u3001\u5404\u7fa4 171 \u4eba\u3001\u4e21\u7fa4\u3067 342 \u4eba\u3068\u8a08\u7b97\u3055\u308c\u308b\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>> # CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\n> # \u5404\u7fa4\u306e\u7dcf\u500b\u4eba\u6570\u3092\u30af\u30e9\u30b9\u30bf\u30fc\u3042\u305f\u308a\u306e\u4eba\u6570\u3067\u5272\u308b\n> n_clusters_per_group_CRCT_education &lt;- ceiling(n_per_group_CRCT_education \/ m_education)\n> cat(paste0(\"CRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570: \", n_clusters_per_group_CRCT_education, \"\u30af\u30e9\u30b9\u30bf\u30fc\\n\"))\nCRCT\u3067\u5404\u7fa4\u306b\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570: 7\u30af\u30e9\u30b9\u30bf\u30fc\n> cat(paste0(\"CRCT\u3067\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u5408\u8a08: \", n_clusters_per_group_CRCT_education * 2, \"\u30af\u30e9\u30b9\u30bf\u30fc\\n\"))\nCRCT\u3067\u5fc5\u8981\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u5408\u8a08: 14\u30af\u30e9\u30b9\u30bf\u30fc<\/code><\/pre>\n\n\n\n<p>\u5404\u7fa4 171 \u4eba\u3092\u30af\u30e9\u30b9\u30bf\u30fc 25 \u4eba\u3067\u5272\u308b\u3068\u30017 \u30af\u30e9\u30b9\u30bf\u30fc\u5fc5\u8981\u3068\u8a08\u7b97\u3055\u308c\u308b\u3002\u4e21\u7fa4\u5408\u8a08\u3059\u308b\u3068 14 \u30af\u30e9\u30b9\u30bf\u30fc\u5fc5\u8981\u3068\u306a\u308b\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u7528\u3044\u305f\u307b\u3046\u304c\u30b5\u30f3\u30d7\u30eb\u6570\u304c\u5c11\u306a\u304f\u6e08\u3080\u6c17\u304c\u3059\u308b\u8aa4\u89e3\u306e\u6839\u62e0<\/h2>\n\n\n\n<p>\u3068\u3053\u308d\u3067\u3001\u300c\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u7528\u3044\u305f\u65b9\u304c\u30b5\u30f3\u30d7\u30eb\u6570\u304c\u5c11\u306a\u304f\u6e08\u3080\u300d\u3068\u3044\u3046\u3088\u3046\u306b\u601d\u308f\u308c\u3066\u3044\u308b\u3053\u3068\u306f\u306a\u3044\u3060\u308d\u3046\u304b\u3002\u3053\u306e\u8aa4\u89e3\u306f\u3001<strong>\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13<\/strong>\u306e\u3088\u3046\u306a\u300c\u500b\u4eba\u5185\u6bd4\u8f03\u300d\u306e\u30c7\u30b6\u30a4\u30f3\u3068\u6df7\u540c\u3055\u308c\u3066\u3044\u308b\u3053\u3068\u304b\u3089\u751f\u3058\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u3068\u306f\uff1f<\/h3>\n\n\n\n<p><strong>\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13<\/strong>\u306f\u3001\u540c\u3058\u88ab\u9a13\u8005\u306b\u8907\u6570\u306e\u4ecb\u5165\u3092\u7570\u306a\u308b\u6642\u671f\u306b\u9806\u5e8f\u3092\u5909\u3048\u3066\u3059\u3079\u3066\u7d4c\u9a13\u3057\u3066\u3082\u3089\u3046\u7814\u7a76\u30c7\u30b6\u30a4\u30f3\u3067\u3042\u308b\u3002\u4f8b\u3048\u3070\u3001\u3042\u308b\u85acA\u3068\u85acB\u306e\u52b9\u679c\u3092\u6bd4\u8f03\u3059\u308b\u5834\u5408\u3001\u88ab\u9a13\u8005\u306e\u4e00\u90e8\u306b\u306f\u307e\u305a\u85acA\u3092\u6295\u4e0e\u3057\u3001\u4e00\u5b9a\u671f\u9593\u306e\u4f11\u85ac\u671f\u9593\u3092\u7d4c\u3066\u304b\u3089\u85acB\u3092\u6295\u4e0e\u3057\u3001\u5225\u306e\u88ab\u9a13\u8005\u306b\u306f\u307e\u305a\u85acB\u3092\u6295\u4e0e\u3057\u3001\u4f11\u85ac\u671f\u9593\u3092\u7d4c\u3066\u304b\u3089\u85acA\u3092\u6295\u4e0e\u3059\u308b\u3002<\/p>\n\n\n\n<p>\u3053\u306e\u3068\u304d\u3001\u5229\u70b9\u3068\u3057\u3066\u3001\u540c\u3058\u88ab\u9a13\u8005\u5185\u3067\u6bd4\u8f03\u3059\u308b\u305f\u3081\u3001\u88ab\u9a13\u8005\u9593\u306e\u3070\u3089\u3064\u304d\uff08\u500b\u4eba\u5dee\uff09\u304c\u7d71\u8a08\u7684\u306b\u9664\u53bb\u3055\u308c\u3001<strong>\u5c11\u306a\u3044\u88ab\u9a13\u8005\u6570\u3067\u9ad8\u3044\u7d71\u8a08\u7684\u691c\u51fa\u529b\u3092\u5f97\u3089\u308c\u308b<\/strong>\u53ef\u80fd\u6027\u304c\u3042\u308b\u3002\u3053\u308c\u306f\u3001\u88ab\u9a13\u8005\u81ea\u8eab\u304c\u5bfe\u7167\u3068\u306a\u308b\u305f\u3081\u3067\u3042\u308b\u3002\u305d\u3057\u3066\u3001\u3053\u306e\u30c7\u30fc\u30bf\u3092\u89e3\u6790\u3059\u308b\u3068\u304d\u3082\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\u3068\u540c\u69d8\u306b\u3001\u5909\u91cf\u52b9\u679c\u3092\u7528\u3044\u308b\u3002<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u306a\u305c\u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\u3067\u30b5\u30f3\u30d7\u30eb\u6570\u304c\u5897\u3048\u308b\u306e\u304b\uff1f<\/h3>\n\n\n\n<p>\u4e00\u65b9\u3001<strong>\u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\uff08CRCT\uff09<\/strong> \u3067\u306f\u3001\u901a\u5e38\u3001\u540c\u3058\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u53c2\u52a0\u8005\u306b\u306f\u540c\u3058\u4ecb\u5165\u304c\u306a\u3055\u308c\u308b\u3002\u4f8b\u3048\u3070\u3001\u770b\u8b77\u5206\u91ce\u306e\u4f8b\u3067\u300c\u60a3\u8005\u5168\u4f53\u3092\u65b0\u3057\u3044\u6559\u80b2\u30d7\u30ed\u30b0\u30e9\u30e0\u7fa4\u3068\u5f93\u6765\u7fa4\u306b\u5206\u3051\u308b\u300d\u5834\u5408\u3001\u65b0\u3057\u3044\u6559\u80b2\u30d7\u30ed\u30b0\u30e9\u30e0\u75c5\u68df\uff08\u30af\u30e9\u30b9\u30bf\u30fc\uff09\u306e\u60a3\u8005\u306f\u65b0\u3057\u3044\u6559\u80b2\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u307f\u3092\u3001\u5f93\u6765\u75c5\u68df\uff08\u30af\u30e9\u30b9\u30bf\u30fc\uff09\u306e\u60a3\u8005\u306f\u5f93\u6765\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u307f\u3092\u5b9f\u65bd\u3059\u308b\u3002<\/p>\n\n\n\n<p>\u3053\u306e\u5834\u5408\u3001\u540c\u3058\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u60a3\u8005\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u30c7\u30fc\u30bf\u306f\u3001\u72ec\u7acb\u3057\u305f\u30c7\u30fc\u30bf\u3067\u306f\u306a\u304f\u3001\u5f37\u3044\u76f8\u95a2\u3092\u6301\u3063\u3066\u3044\u308b\u3002\u3064\u307e\u308a\u3001\u3042\u308b\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u60a3\u8005\u304b\u3089\u5f97\u3089\u308c\u308b\u60c5\u5831\u306f\u3001\u540c\u3058\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u4ed6\u306e\u60a3\u8005\u304b\u3089\u5f97\u3089\u308c\u308b\u60c5\u5831\u3068\u304b\u306a\u308a\u306e\u90e8\u5206\u304c\u91cd\u8907\u3057\u3066\u5f97\u3089\u308c\u308b\u305f\u3081\u3001<strong>1\u3064\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u304b\u3089\u4f8b\u3048\u3070 2\u4eba\u306e\u30c7\u30fc\u30bf\u3092\u5f97\u3066\u3082\u3001\u7d71\u8a08\u7684\u306a\u60c5\u5831\u91cf\u3068\u3057\u3066\u306f\u72ec\u7acb\u3057\u305f2\u4eba\u306e\u60a3\u8005\u5206\u306e\u60c5\u5831\u306b\u306f\u306a\u3089\u306a\u3044\u3002<strong>\u3053\u308c\u304c\u3001\u524d\u8ff0\u306e<\/strong>\u7d1a\u5185\u76f8\u95a2\u4fc2\u6570\uff08ICC\uff09<\/strong> \u3068\u3057\u3066\u8868\u73fe\u3055\u308c\u308b\u30c7\u30fc\u30bf\u9593\u306e\u76f8\u95a2\u3067\u3042\u308b\u3002<\/p>\n\n\n\n<p>\u3057\u305f\u304c\u3063\u3066\u3001CRCT\u3067\u306f\u3001\u3053\u306e\u60c5\u5831\u91cf\u306e\u91cd\u8907\u3092\u88dc\u3046\u305f\u3081\u306b\u3001<strong>\u3088\u308a\u591a\u304f\u306e\u30af\u30e9\u30b9\u30bf\u30fc\uff08\u3053\u306e\u5834\u5408\u306f\u3088\u308a\u591a\u304f\u306e\u75c5\u68df\uff09\u304c\u5fc5\u8981<\/strong>\u306b\u306a\u308b\u3002\u30af\u30ed\u30b9\u30aa\u30fc\u30d0\u30fc\u8a66\u9a13\u304c\u500b\u4eba\u5185\u306e\u6bd4\u8f03\u3067\u52b9\u7387\u7684\u306b\u500b\u4eba\u5dee\u3092\u6392\u9664\u3059\u308b\u306e\u306b\u5bfe\u3057\u3001CRCT\u306f\u30af\u30e9\u30b9\u30bf\u30fc\u9593\u3067\u306e\u6bd4\u8f03\u3068\u306a\u308b\u305f\u3081\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u76f8\u95a2\uff08\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u500b\u4eba\u304c\u72ec\u7acb\u3067\u306a\u3044\u3053\u3068\uff09\u3092\u8003\u616e\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u305a\u3001\u7d50\u679c\u3068\u3057\u3066\u30b5\u30f3\u30d7\u30eb\u6570\u304c\u5897\u52a0\u3059\u308b\u3068\u3044\u3046\u308f\u3051\u3067\u3042\u308b\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u307e\u3068\u3081<\/h2>\n\n\n\n<p>\u30af\u30e9\u30b9\u30bf\u30fc\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\u306f\u3001\u533b\u7642\u3084\u6559\u80b2\u306a\u3069\u3001\u30b0\u30eb\u30fc\u30d7\u5358\u4f4d\u3067\u4ecb\u5165\u304c\u884c\u308f\u308c\u308b\u73fe\u5b9f\u4e16\u754c\u306e\u8907\u96d1\u306a\u72b6\u6cc1\u306b\u304a\u3044\u3066\u3001\u4ecb\u5165\u52b9\u679c\u3092\u79d1\u5b66\u7684\u304b\u3064\u502b\u7406\u7684\u306b\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306e\u4e0d\u53ef\u6b20\u306a\u7814\u7a76\u30c7\u30b6\u30a4\u30f3\u3067\u3042\u308b\u3002\u30af\u30e9\u30b9\u30bf\u30fc\u69cb\u9020\u3092\u9069\u5207\u306b\u8003\u616e\u3057\u306a\u3044\u89e3\u6790\u306f\u3001\u7d71\u8a08\u7684\u306a\u8aa4\u308a\u3084\u8aa4\u3063\u305f\u7d50\u8ad6\u3092\u5c0e\u304f\u30ea\u30b9\u30af\u3092\u9ad8\u3081\u308b\u3002<\/p>\n\n\n\n<p>CRCT\u3092\u8a08\u753b\u30fb\u5b9f\u65bd\u3059\u308b\u969b\u306b\u306f\u3001<strong>\u7d1a\u5185\u76f8\u95a2\uff08ICC\uff09\u3092\u8003\u616e\u3057\u305f\u9069\u5207\u306a\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u8a08\u7b97<\/strong>\u3068\u3001<strong>\u6df7\u5408\u52b9\u679c\u30e2\u30c7\u30eb\u306a\u3069\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u52b9\u679c\u3092\u8003\u616e\u3057\u305f\u7d71\u8a08\u89e3\u6790\u624b\u6cd5<\/strong>\u306e\u5229\u7528\u304c\u6975\u3081\u3066\u91cd\u8981\u3067\u3042\u308b\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u3088\u308a\u4fe1\u983c\u6027\u306e\u9ad8\u3044\u30a8\u30d3\u30c7\u30f3\u30b9\u3092\u751f\u6210\u3057\u3001\u5b9f\u8df5\u3078\u306e\u9069\u5207\u306a\u5fdc\u7528\u3092\u53ef\u80fd\u306b\u3059\u308b\u3002\u305f\u3060\u3057\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u76f8\u95a2\u306b\u3088\u3063\u3066\u3001\u5fc5\u8981\u306a\u30b5\u30f3\u30d7\u30eb\u6570\u304c\u5897\u5927\u3059\u308b\u70b9\u306f\u3001\u8a66\u9a13\u5b9f\u884c\u4e0a\u306e\u30cf\u30fc\u30c9\u30eb\u306b\u306a\u308a\u3046\u308b\u3053\u3068\u3082\u5fd8\u308c\u306a\u3044\u3088\u3046\u306b\u3057\u305f\u3044\u3002<\/p>\n\n\n\n\n","protected":false},"excerpt":{"rendered":"<p>\u5f93\u6765\u306e\u30e9\u30f3\u30c0\u30e0\u5316\u6bd4\u8f03\u8a66\u9a13\uff08RCT\uff09\u306f\u3001\u500b\u3005\u306e\u53c2\u52a0\u8005\u3092\u30e9\u30f3\u30c0\u30e0\u306b\u30b0\u30eb\u30fc\u30d7\u306b\u5272\u308a\u4ed8\u3051\u308b\u3053\u3068\u3067\u3001\u4ecb\u5165\u306e\u52b9\u679c\u3092\u516c\u5e73\u306b\u8a55\u4fa1\u3059\u308b\u305f\u3081\u306e\u5f37\u529b\u306a\u624b\u6cd5\u3067\u3042\u308b\u3002\u3057\u304b\u3057\u3001\u533b\u7642\u3084\u6559\u80b2\u306e\u73fe\u5834\u3067\u306f\u3001\u500b\u4eba\u3067\u306f\u306a\u304f\u30b0\u30eb\u30fc\u30d7\uff08\u30af\u30e9\u30b9\u30bf\u30fc\uff09\u5358\u4f4d\u3067\u4ecb\u5165\u304c\u884c\u308f [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"swell_btn_cv_data":"","_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[59],"tags":[],"class_list":["post-4045","post","type-post","status-publish","format-standard","hentry","category-59"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/4045","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/comments?post=4045"}],"version-history":[{"count":9,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/4045\/revisions"}],"predecessor-version":[{"id":4062,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/posts\/4045\/revisions\/4062"}],"wp:attachment":[{"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/media?parent=4045"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/categories?post=4045"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/best-biostatistics.com\/toukei-er\/wp-json\/wp\/v2\/tags?post=4045"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}