{"id":53,"date":"2024-08-31T22:12:24","date_gmt":"2024-08-31T13:12:24","guid":{"rendered":"https:\/\/best-biostatistics.com\/toukei-er\/?p=53"},"modified":"2024-08-31T22:20:19","modified_gmt":"2024-08-31T13:20:19","slug":"advantage-of-propensity-score-method-and-how-to-select-covariates","status":"publish","type":"post","link":"https:\/\/best-biostatistics.com\/toukei-er\/entry\/advantage-of-propensity-score-method-and-how-to-select-covariates\/","title":{"rendered":"\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\u306e\u5229\u70b9\u3068\u4ea4\u7d61\u56e0\u5b50\u306e\u6c7a\u3081\u65b9"},"content":{"rendered":"\n<p>\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\u306f\u3001\u4ea4\u7d61\u56e0\u5b50\u8abf\u6574\u3068\u3044\u3046\u70b9\u3067\u306f\u3001\u7dda\u5f62\u306e\u591a\u5909\u91cf\u89e3\u6790\u3001\u4f8b\u3048\u3070\u91cd\u56de\u5e30\u5206\u6790\u3084\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u5206\u6790\u3068\u540c\u69d8\u3067\u3042\u308b<\/p>\n\n\n\n<p>\u3057\u304b\u3057\u3001\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3068\u306f\u7570\u306a\u308b\u5229\u70b9\u304c\u5b58\u5728\u3059\u308b<\/p>\n\n\n\n<p>\u3069\u3093\u306a\u3068\u304d\u306b\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\u3092\u7528\u3044\u308b\u306e\u304c\u826f\u3044\u306e\u304b<\/p>\n\n\n\n<!--more-->\n\n\n\n<h2 class=\"wp-block-heading\">\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\u3068\u591a\u5909\u91cf\u89e3\u6790\u306e\u6bd4\u8f03<\/h2>\n\n\n\n<p>\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\u304c\u591a\u5909\u91cf\u89e3\u6790\u3088\u308a\u512a\u308c\u3066\u3044\u308b\u72b6\u6cc1\u306b\u3064\u3044\u3066\u306f\u3001\u4ee5\u4e0b\u306e\u8a18\u4e8b\u304c\u3068\u3066\u3082\u52c9\u5f37\u306b\u306a\u308b<\/p>\n\n\n\n<p><a href=\"https:\/\/www.krsk-phs.com\/entry\/propensity_score_comparison\">\u50be\u5411\uff08\u30d7\u30ed\u30da\u30f3\u30b7\u30c6\u30a3\uff09\u30b9\u30b3\u30a2\u306e\u5404\u4f7f\u7528\u6cd5\u306e\u4eee\u5b9a\u30fb\u89e3\u91c8\u306e\u9055\u3044\u3092\u6bd4\u8f03\u3057\u3066\u307f\u305f &#8211; Unboundedly<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"686\" height=\"494\" src=\"https:\/\/best-biostatistics.com\/toukei-er\/wp-content\/uploads\/2024\/03\/20240301214239.png\" alt=\"\" class=\"wp-image-1012\" title=\"\" srcset=\"https:\/\/best-biostatistics.com\/toukei-er\/wp-content\/uploads\/2024\/03\/20240301214239.png 686w, https:\/\/best-biostatistics.com\/toukei-er\/wp-content\/uploads\/2024\/03\/20240301214239-300x216.png 300w\" sizes=\"(max-width: 686px) 100vw, 686px\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center\">\u51fa\u5178\uff1a<br><a href=\"https:\/\/www.krsk-phs.com\/entry\/propensity_score_comparison#%E5%82%BE%E5%90%91%E3%82%B9%E3%82%B3%E3%82%A2%E3%81%A8%E6%99%AE%E9%80%9A%E3%81%AE%E3%82%A2%E3%82%A6%E3%83%88%E3%82%AB%E3%83%A0%E5%9B%9E%E5%B8%B0%E3%83%A2%E3%83%87%E3%83%AB%E3%81%AE%E6%AF%94%E8%BC%83\">\u50be\u5411\u30b9\u30b3\u30a2\u3068\u666e\u901a\u306e\uff08\u30a2\u30a6\u30c8\u30ab\u30e0\uff09\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u6bd4\u8f03<\/a><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">4 \u3064\u306e\u30dd\u30a4\u30f3\u30c8<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>\u30dd\u30a4\u30f3\u30c8<\/td><td>\u591a\u5909\u91cf\u89e3\u6790<\/td><td>\u50be\u5411\u30b9\u30b3\u30a2<\/td><\/tr><tr><td>\u30e2\u30c7\u30eb\u306e\u4eee\u5b9a\u306e\u9055\u3044<\/td><td>\u30a2\u30a6\u30c8\u30ab\u30e0\u3068\u5171\u5909\u91cf\u306e\u95a2\u4fc2\u6027<\/td><td>\u66dd\u9732\u3068\u5171\u5909\u91cf\u306e\u95a2\u4fc2\u6027\uff08\u5171\u5909\u91cf\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u8a55\u4fa1\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\uff09<\/td><\/tr><tr><td>p-hacking \u4e88\u9632<\/td><td>\u90fd\u5408\u3088\u3044\u6709\u610f\u5dee\u304c\u51fa\u308b\u307e\u3067\u30e2\u30c7\u30eb\u3092\u3053\u306d\u304f\u308a\u56de\u305b\u308b<\/td><td>\u30d0\u30e9\u30f3\u30b9\u304c\u53d6\u308c\u305f\u6642\u70b9\u3067\u30e2\u30c7\u30eb\u306e\u8a2d\u5b9a\u304c\u7d42\u4e86<\/td><\/tr><tr><td>positivity \u30c1\u30a7\u30c3\u30af<\/td><td>\u66dd\u9732\u3042\u308a\u306e\u307f\u3001\u66dd\u9732\u306a\u3057\u306e\u307f\u306e\u5c64\u3092\u8abf\u3079\u306a\u3044<\/td><td>\u66dd\u9732\u3042\u308a\u306a\u3057\u306e\u30d0\u30e9\u30f3\u30b9\u3092\u78ba\u8a8d\u3059\u308b<\/td><\/tr><tr><td>\u30ec\u30a2\u306a\u4e8c\u5024\u30a2\u30a6\u30c8\u30ab\u30e0<\/td><td>\u30a2\u30a6\u30c8\u30ab\u30e0\u304c\u30ec\u30a2\u306a\u5834\u5408\u306f\u30d0\u30a4\u30a2\u30b9\u304c\u5927\u304d\u304f\u306a\u308b<\/td><td>\u30a2\u30a6\u30c8\u30ab\u30e0\u304c\u30ec\u30a2\u3067\u3082\u30d0\u30a4\u30a2\u30b9\u306f\u307b\u307c\u5747\u4e00<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>\u4ee5\u4e0a\u3092\u307e\u3068\u3081\u308b\u3068\u3001<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u66dd\u9732\u3068\u5171\u5909\u91cf\u306e\u95a2\u4fc2\u6027\u304c\u5f37\u3044\u3068\u304d<\/li>\n\n\n\n<li>\u63a2\u7d22\u7684\u306a\u6bd4\u8f03\u3088\u308a\u4eee\u8aac\u30d9\u30fc\u30b9\u306e\u6bd4\u8f03\u306b\u3057\u305f\u3044\u3068\u304d<\/li>\n\n\n\n<li>\u66dd\u9732\u3042\u308a\u30fb\u306a\u3057\u306e\u30d0\u30e9\u30f3\u30b9\u304c\u3088\u308a\u91cd\u8981\u306a\u3068\u304d<\/li>\n\n\n\n<li>\u30a2\u30a6\u30c8\u30ab\u30e0\u304c\u30ec\u30a2\u306a\u3068\u304d<\/li>\n<\/ul>\n\n\n\n<p>\u3053\u308c\u3089\u306e\u3068\u304d\u306b\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\u306f\u3001\u591a\u5909\u91cf\u89e3\u6790\u3088\u308a\u3082\u5229\u70b9\u304c\u3042\u308b\u3068\u8a00\u3048\u308b<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u3044\u5834\u5408\">\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u3044\u5834\u5408<\/h3>\n\n\n\n<p>\u307e\u305f\u3001\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u3044\u3068\u304d\u306f\u3001\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\u306e\u307b\u3046\u304c\u5229\u70b9\u304c\u3042\u308b\u3068\u306e\u8a18\u8ff0\u3082\u3042\u308b<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u8aac\u660e\u5909\u6570\u4e00\u3064\u306b\u5bfe\u3057\u3066\u30018 \u4f8b\u4ee5\u4e0a\u306e\u30a4\u30d9\u30f3\u30c8\u304c\u3042\u308b\u5834\u5408\u306f\u3001\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u306e\u307b\u3046\u304c\u3088\u3044\u30027 \u4f8b\u4ee5\u4e0b\u306e\u5834\u5408\u306f\u3001\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\uff085 \u5206\u5272\u6cd5\uff09\u306e\u307b\u3046\u304c\u3088\u3044<\/p>\n<\/blockquote>\n\n\n\n<p><a href=\"https:\/\/academic.oup.com\/aje\/article\/158\/3\/280\/70529\">Comparison of Logistic Regression versus Propensity Score When the Number of Events Is Low and There Are Multiple Confounders | American Journal of Epidemiology | Oxford Academic<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"Propensity-score-\u3092\u4f5c\u6210\u3059\u308b\u969b\u306e\u4ea4\u7d61\u56e0\u5b50\u306e\u9078\u3073\u65b9\u3068\u305d\u306e\u7406\u7531\">\u50be\u5411\u30b9\u30b3\u30a2\u3092\u4f5c\u6210\u3059\u308b\u969b\u306e\u4ea4\u7d61\u56e0\u5b50\u306e\u9078\u3073\u65b9<\/h2>\n\n\n\n<p>\u3067\u306f\u3001\u6b21\u306b\u50be\u5411\u30b9\u30b3\u30a2\u3092\u4f5c\u6210\u3059\u308b\u969b\u306b\u3001\u4ea4\u7d61\u56e0\u5b50\u306f\u3069\u306e\u3088\u3046\u306b\u9078\u3093\u3060\u3089\u3088\u3044\u3060\u308d\u3046\u304b<\/p>\n\n\n\n<p>\u518d\u5ea6\u3001<a href=\"https:\/\/www.krsk-phs.com\/entry\/propensity_score_comparison\">\u50be\u5411\uff08\u30d7\u30ed\u30da\u30f3\u30b7\u30c6\u30a3\uff09\u30b9\u30b3\u30a2\u306e\u5404\u4f7f\u7528\u6cd5\u306e\u4eee\u5b9a\u30fb\u89e3\u91c8\u306e\u9055\u3044\u3092\u6bd4\u8f03\u3057\u3066\u307f\u305f &#8211; Unboundedly<\/a> \u304b\u3089\u5f15\u7528\u3059\u308b<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u3068\u306b\u304b\u304f\u306a\u3093\u3067\u3082A\u306b\u95a2\u9023\u3059\u308b\u3082\u306e\u3092\u30e2\u30c7\u30eb\u306b\u3044\u308c\u3066\u5272\u4ed8\u78ba\u7387Pr(A=1|L)\u3092\u7cbe\u5ea6\u826f\u304f\u4e88\u6e2c\u3059\u308c\u3070\u3044\u3044\u3068\u3044\u3046\u8a71\u3067\u306f\u306a\u3044<\/p>\n\n\n\n<p>\u91cd\u8981\u306a\u306e\u306f\u3001\u50be\u5411\u30b9\u30b3\u30a2\u304c\u6b63\u3057\u304f\u6a5f\u80fd\u3059\u308b\u305f\u3081\u306b\u306f<br>1. \u3069\u306eL\u3092\u6761\u4ef6\u3065\u3051\u308c\u3070\u30d0\u30a4\u30a2\u30b9\u304c\u306a\u304f\u306a\u308b\u306e\u304b\u304c\u308f\u304b\u3063\u3066\u3044\u308b(Conditional Exchangeability\u306e\u6210\u7acb\u6761\u4ef6\u3092<a class=\"keyword\" href=\"https:\/\/d.hatena.ne.jp\/keyword\/%A5%C9%A5%E1%A5%A4%A5%F3\">\u30c9\u30e1\u30a4\u30f3<\/a>\u77e5\u8b58\u306b\u57fa\u3065\u304d\u6c7a\u3081\u308b\uff09<br>2. \u305d\u308c\u3089L\u306e\u30c7\u30fc\u30bf\u304c\uff08\u6b63\u3057\u304f\uff09\u6e2c\u5b9a\u3055\u308c\u3066\u3044\u308b<br>\u306e\uff12\u6761\u4ef6\u304c\u5fc5\u9808\u3060\u3068\u3044\u3046\u3053\u3068\u3002<\/p>\n<\/blockquote>\n\n\n\n<p>\u307e\u305f\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8a18\u8f09\u3082\u3042\u308b<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>\u305d\u3082\u305d\u3082\u50be\u5411\u30b9\u30b3\u30a2\u3092\u63a8\u5b9a\u3059\u308b\u30e2\u30c7\u30eb\u306b\u542b\u3081\u308b\u3079\u304d\u5909\u6570\u306fConditional Exchangeability\u3092\u5f97\u308b\u306e\u306b\u5fc5\u8981\u306aL\uff08\uff0b\u975ecollider\u306a\u30a2\u30a6\u30c8\u30ab\u30e0Y\u306e\u4e88\u6e2c\u56e0\u5b50\uff09*1\u306e\u307f<\/p>\n<\/blockquote>\n\n\n\n<p>Conditional Exchangeability \u3068\u306f\u3001L \uff08\u4ea4\u7d61\u56e0\u5b50\u306e\u30bb\u30c3\u30c8\uff09\u304c\u540c\u3058\u3067\u3042\u308c\u3070\u3001\u30d5\u30a7\u30a2\u306a\u6bd4\u8f03\u304c\u3067\u304d\u308b\u3060\u308d\u3046\u3068\u4eee\u5b9a\u3092\u7f6e\u304f\u3068\u3044\u3046\u3053\u3068\u3067\u3001\u8ad6\u7406\u7684\u306b\u6c7a\u3081\u308b\u3068\u3044\u3046\u3053\u3068<\/p>\n\n\n\n<ul class=\"wp-block-list\"><\/ul>\n\n\n\n<p>Collider \u3068\u306f\u3001\u5408\u6d41\u70b9\u3068\u3082\u8a33\u3055\u308c\u30012 \u3064\u4ee5\u4e0a\u306e\u4ed6\u306e\u5909\u6570\u304b\u3089\u56e0\u679c\u7684\u306a\u5f71\u97ff\u3092\u53d7\u3051\u3066\u3044\u308b\u5834\u5408\u306b\u4f7f\u308f\u308c\u308b\u7528\u8a9e<br><a href=\"https:\/\/ja.wikipedia.org\/wiki\/%E5%90%88%E6%B5%81%E7%82%B9_(%E7%B5%B1%E8%A8%88%E5%AD%A6)\">\u5408\u6d41\u70b9\uff08\u7d71\u8a08\u5b66\uff09- Wikipedia<\/a><\/p>\n\n\n\n<p>\u975e collider \u3068\u306f\u3001\u305d\u306e\u3088\u3046\u306a 2 \u3064\u4ee5\u4e0a\u306e\u4ed6\u306e\u5909\u6570\u304b\u3089\u56e0\u679c\u7684\u306a\u5f71\u97ff\u306f\u53d7\u3051\u3066\u3044\u306a\u3044\u3068\u3044\u3046\u610f\u5473\u306b\u306a\u308b<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u4ea4\u7d61\u56e0\u5b50\u5019\u88dc\u3092\u7121\u9650\u306b\u6295\u5165\u3059\u308c\u3070\u3088\u3044\u3068\u3044\u3046\u3053\u3068\u3067\u306f\u306a\u3044<\/li>\n\n\n\n<li>\u7814\u7a76\u5206\u91ce\u306e\u77e5\u8b58\u3092\u57fa\u306b\u8ad6\u7406\u7684\u306b\u6c7a\u3081\u308b<\/li>\n\n\n\n<li>\u5408\u6d41\u70b9\u3067\u306f\u306a\u3044\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u4e88\u6e2c\u56e0\u5b50<\/li>\n<\/ul>\n\n\n\n<p>\u307e\u305f\u3001\u4ee5\u4e0b\u306e\u8ad6\u6587\u306b\u3082\u3001\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u4e88\u6e2c\u56e0\u5b50\u306e\u5074\u9762\u304c\u8a18\u8f09\u3055\u308c\u3066\u3044\u308b<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u95a2\u9023\u3059\u308b\u56e0\u5b50\u306f\u3059\u3079\u3066\u6295\u5165\u3059\u308b<\/li>\n\n\n\n<li>\u6cbb\u7642\u306b\u3060\u3051\u95a2\u9023\u3057\u3066\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u95a2\u9023\u3057\u306a\u3044\u56e0\u5b50\u306f\u6295\u5165\u3057\u306a\u3044<\/li>\n<\/ul>\n\n\n\n<p><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC6715456\/\">Propensity score methods to control for confounding in observational cohort studies: a statistical primer and application to endoscopy research<\/a><br>Step1: Select Covariates \u53c2\u7167<\/p>\n\n\n\n\n\n\n\n<p>\u8ad6\u7406\u7684\u306b\u6c7a\u3081\u306a\u3044\u3068\u3044\u3051\u306a\u3044\u3068\u3044\u3046\u307b\u304b\u306b\u3001C \u7d71\u8a08\u91cf\uff08AUC\uff09\u3067\u6c7a\u3081\u308b\u306e\u306f\u8aa4\u89e3\u3068\u3059\u308b\u8a18\u4e8b\u304c\u3042\u308b<br><a href=\"https:\/\/riklog.com\/research\/propensity-score\/\">\u50be\u5411\u30b9\u30b3\u30a2\u3092\u4f7f\u3046\u524d\u306b\u77e5\u3063\u3066\u304a\u304f\u3079\u304d\u4e8b TOP 5\u3010\u91cd\u8981\u3011<\/a><\/p>\n\n\n\n<p>\u30e2\u30c7\u30eb\u5185\u3067\u6709\u610f\u3060\u304b\u3089\u542b\u3081\u308b\u30fb\u6709\u610f\u3067\u306a\u3044\u304b\u3089\u542b\u3081\u306a\u3044\u3068\u304b\u3001\u5358\u5909\u91cf\u89e3\u6790\u3067\u6709\u610f\u3060\u304b\u3089\u542b\u3081\u308b\u30fb\u6709\u610f\u3067\u306a\u3044\u304b\u3089\u542b\u3081\u306a\u3044\u306a\u3069\u3001\u5b8c\u5168\u306b\u691c\u5b9a\u306b\u4f9d\u5b58\u3057\u305f\u6c7a\u3081\u65b9\u306f\u3001\u907f\u3051\u305f\u307b\u3046\u304c\u3088\u3044<span itemscope=\"\" itemtype=\"http:\/\/schema.org\/Photograph\"><\/span><\/p>\n\n\n\n<p>C \u7d71\u8a08\u91cf\u306a\u3069\u4e88\u6e2c\u6027\u80fd\u3082\u53c2\u8003\u306b\u3057\u3064\u3064\u3001\u5148\u884c\u7814\u7a76\u3082\u53c2\u8003\u306b\u3001\u8ad6\u7406\uff08\u3064\u307e\u308a\u7406\u5c48\uff09\u3082\u8003\u3048\u306a\u304c\u3089\u3001\u4ea4\u7d61\u56e0\u5b50\u3092\u6c7a\u3081\u308b\u3068\u3044\u3046\u9032\u3081\u65b9\u304c\u3088\u3044\u3088\u3046\u3060<\/p>\n\n\n\n<div id=\"biost-2151347346\" 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\">\u307e\u3068\u3081<\/h2>\n\n\n\n<p>\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\u306f\u3001<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u304c\u5c0f\u3055\u3081\u3067\u3001\u30a2\u30a6\u30c8\u30ab\u30e0\u304c\u30ec\u30a2\u3067\u5171\u5909\u91cf\u3068\u306e\u76f8\u95a2\u304c\u5f37\u304f\u3001\u66dd\u9732\u6709\u308a\u7121\u3057\u306e\u30d0\u30e9\u30f3\u30b9\u304c\u5927\u4e8b\u3067\u3001\u4eee\u8aac\u30d9\u30fc\u30b9\u306e\u6bd4\u8f03\u6642\u306b\u3001\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3088\u308a\u6709\u5229<\/li>\n\n\n\n<li>\u4ea4\u7d61\u56e0\u5b50\u5019\u88dc\u3068\u3059\u308b\u3082\u306e\u306f\u3001\u4e88\u5f8c\u56e0\u5b50\u306f\u542b\u3081\u3001\u66dd\u9732\u306e\u307f\u306b\u95a2\u9023\u3057\u3066\u3044\u308b\u5909\u6570\u306f\u542b\u3081\u305a\u3001\u691c\u5b9a\u306b\u983c\u3063\u305f\u5909\u6570\u9078\u629e\u306f\u305b\u305a\u3001\u7814\u7a76\u5206\u91ce\u306e\u77e5\u8b58\u3068\u7406\u8ad6\u3092\u3082\u3068\u306b\u6c7a\u5b9a\u3059\u308b<\/li>\n<\/ul>\n\n\n\n<p>\u3068\u3044\u3046\u3075\u3046\u306b\u307e\u3068\u3081\u3089\u308c\u308b<\/p>\n\n\n\n<p>\u4f55\u3089\u304b\u53c2\u8003\u306b\u306a\u308c\u3070<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"\u53c2\u8003\u30b5\u30a4\u30c8\">\u53c2\u8003\u30b5\u30a4\u30c8<\/h2>\n\n\n\n<p>\u50be\u5411\u30b9\u30b3\u30a2\u3092\u4f7f\u3046\u3068\u306a\u305c\u3044\u3044\u306e\u304b<br><a href=\"https:\/\/www.krsk-phs.com\/entry\/propensity_score_comparison\">\u50be\u5411\uff08\u30d7\u30ed\u30da\u30f3\u30b7\u30c6\u30a3\uff09\u30b9\u30b3\u30a2\u306e\u5404\u4f7f\u7528\u6cd5\u306e\u4eee\u5b9a\u30fb\u89e3\u91c8\u306e\u9055\u3044\u3092\u6bd4\u8f03\u3057\u3066\u307f\u305f &#8211; Unboundedly<\/a><\/p>\n\n\n\n<p>\u50be\u5411\u30b9\u30b3\u30a2\u3092\u4f7f\u3046\u3079\u304d\u72b6\u6cc1\u306f\u6c7a\u307e\u3063\u3066\u3044\u308b<br><a href=\"https:\/\/riklog.com\/research\/propensity-score\/\">\u50be\u5411\u30b9\u30b3\u30a2\u3092\u4f7f\u3046\u524d\u306b\u77e5\u3063\u3066\u304a\u304f\u3079\u304d\u4e8b TOP 5\u3010\u91cd\u8981\u3011 &#8211; Riklog<\/a><\/p>\n\n\n\n<p>\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\u306e\u57fa\u672c<br><a href=\"https:\/\/best-biostatistics.com\/summary\/propensity-score.html\">\u50be\u5411\u30b9\u30b3\u30a2\u30de\u30c3\u30c1\u30f3\u30b0\u6cd5\uff08\u30d7\u30ed\u30da\u30f3\u30b7\u30c6\u30a3\u30b9\u30b3\u30a2\uff09\u3092\u308f\u304b\u308a\u3084\u3059\u304f\u89e3\u8aac\uff01\uff5c\u3044\u3061\u3070\u3093\u3084\u3055\u3057\u3044\u3001\u533b\u7642\u7d71\u8a08<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/academic.oup.com\/aje\/article\/158\/3\/280\/70529\">Comparison of Logistic Regression versus Propensity Score When the Number of Events Is Low and There Are Multiple Confounders | American Journal of Epidemiology | Oxford Academic<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pmc\/articles\/PMC6715456\/\">Propensity score methods to control for confounding in observational cohort studies: a statistical primer and application to endoscopy research<\/a><br><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u50be\u5411\u30b9\u30b3\u30a2\u6cd5\u306f\u3001\u4ea4\u7d61\u56e0\u5b50\u8abf\u6574\u3068\u3044\u3046\u70b9\u3067\u306f\u3001\u7dda\u5f62\u306e\u591a\u5909\u91cf\u89e3\u6790\u3001\u4f8b\u3048\u3070\u91cd\u56de\u5e30\u5206\u6790\u3084\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u5206\u6790\u3068\u540c\u69d8\u3067\u3042\u308b \u3057\u304b\u3057\u3001\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3068\u306f\u7570\u306a\u308b\u5229\u70b9\u304c\u5b58\u5728\u3059\u308b 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