![\"\"](\"https:\/\/info.zanet.biz\/wp\/wp-content\/uploads\/2020\/10\/confounders-3-criteria-1024x501.png\")
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\u30fb\u672a\u77e5\u306e\u4ea4\u7d61\u56e0\u5b50\u306e\u52b9\u679c\u304c\u6df7\u3056\u308a\u5408\u3063\u305f\u7d50\u679c\u304c\u30d7\u30e9\u30b9\u30de\u30a4\u30ca\u30b90\u306b\u306a\u308b\u3053\u3068\u3082\u3042\u308a\u3046\u308b\u3002
\u30fb\u6761\u4ef6\u306b\u3088\u3063\u3066\u306f\u3001\u672a\u77e5\u306e\u4ea4\u7d61\u56e0\u5b50\u306e\u52b9\u679c\u3092\u66b4\u9732\u306e\u52b9\u679c\u3068\u53d6\u308a\u9055\u3048\u308b\u53ef\u80fd\u6027\u3082\u3042\u308b\u3002<\/p>\n\n\n\n
\u3055\u3066\u3001\u30d0\u30a4\u30a2\u30b9\u3084\u4ea4\u7d61\u56e0\u5b50\u3042\u308b\u3044\u306f\u4ea4\u7d61\u3068\u3044\u3046\u7528\u8a9e\u306e\u4f7f\u3044\u65b9\u306f\u4f7f\u3046\u4eba\u306b\u3088\u3063\u3066\u3055\u307e\u3056\u307e\u3067\u3042\u308b\u3053\u3068\u304c\u6307\u6458\u3055\u308c\u3066\u3044\u307e\u3059\u3002Schwartz S\u3089\u306f\u3053\u306e\u6295\u7a3f\u306e\u6700\u5f8c\u306b\u793a\u3059\u8ad6\u6587\u3067\u3001Internal validity, Source population, Causal effect, Actual effect of exposure, Bias (i.e., invalidity)\u306b\u3064\u3044\u3066\u306e\u5b9a\u7fa9\u3092\u793a\u3057\u305f\u306e\u3061\u3001”Confounding<\/u><\/strong>, selection bias<\/u><\/strong>, and information bias<\/u><\/strong> are categories of bias thus defined. What unites them is their consequence\u2014what they do to the study results. They each create noncomparability, which prevents the identification of the true causal effect the exposure had on the exposed in the source population.”\u300c\u4ea4\u7d61\u3001\u9078\u629e\u30d0\u30a4\u30a2\u30b9\u3001\u60c5\u5831\u30d0\u30a4\u30a2\u30b9\u306f\u3001\u3053\u306e\u3088\u3046\u306b\u5b9a\u7fa9\u3055\u308c\u305f\u30d0\u30a4\u30a2\u30b9\u306e\u30ab\u30c6\u30b4\u30ea\u30fc\u3067\u3042\u308b\u3002\u3053\u308c\u3089\u306e\u30d0\u30a4\u30a2\u30b9\u3092\u307e\u3068\u3081\u3066\u3044\u308b\u306e\u306f\u3001\u305d\u306e\u7d50\u679c\u3001\u3059\u306a\u308f\u3061\u7814\u7a76\u7d50\u679c\u306b\u4f55\u3092\u3082\u305f\u3089\u3059\u304b\u3068\u3044\u3046\u3053\u3068\u3067\u3042\u308b\u3002\u3053\u308c\u3089\u306e\u30d0\u30a4\u30a2\u30b9\u306f\u305d\u308c\u305e\u308c\u975e\u6bd4\u8f03\u53ef\u80fd\u6027\u3092\u751f\u307f\u51fa\u3057\u3001\u66b4\u9732\u304c\u539f\u96c6\u56e3\u306e\u88ab\u66b4\u9732\u8005\u306b\u4e0e\u3048\u305f\u771f\u306e\u56e0\u679c\u95a2\u4fc2\u3092\u7279\u5b9a\u3059\u308b\u3053\u3068\u3092\u59a8\u3052\u308b\u3002\u300d\u3068\u8ff0\u3079\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n \u7570\u306a\u308b\u8996\u70b9\u3001\u7570\u306a\u308b\u5206\u91ce\u3067\u306e\u7570\u306a\u308b\u8003\u3048\u306a\u3069\u3092\u77e5\u308b\u3053\u3068\u304c\u3068\u3066\u3082\u91cd\u8981\u306b\u601d\u3048\u307e\u3059\u3002<\/p>\n\n\n\n \u6587\u732e\uff1a \u8ffd\u52a0\uff1a<\/p>\n\n\n\n 2\u3064\u306e\u96c6\u56e3\u9593\u306e\u5dee\u304c\u898b\u3089\u308c\u3001\u3053\u308c\u30892\u3064\u306e\u6e2c\u5b9a\u5024\u3001\u3059\u306a\u308f\u3061\u52b9\u679c\u6e2c\u5b9a\u5024\u3068\u95a2\u9023\u6e2c\u5b9a\u5024\u3001\u304c\u7570\u306a\u308b\u5834\u5408\u3001\u6211\u3005\u306f\u3001\u95a2\u9023association\u304c\u4ea4\u7d61\u3057\u3066\u3044\u308bconfounded\u3001\u307e\u305f\u306f\u4ea4\u7d61\u304c\u95a2\u9023\u306b\u5b58\u5728\u3057\u3066\u3044\u308b\u3068\u8a00\u3046\u3002\u00a0 \u3053\u308c\u30892\u3064\u306e\u6e2c\u5b9a\u5024\u304c\u540c\u3058\u3067\u3042\u308c\u3070\u3001\u4ea4\u7d61\u306f\u5b58\u5728\u3057\u306a\u3044\u3068\u8a00\u3046\u3002 \u75ab\u5b66Epidemiology\u3068\u81e8\u5e8a\u75ab\u5b66Clinical Epidemiology\u306f\u540c\u3058\u3067\u306f\u3042\u308a\u307e\u305b\u3093\u3002\u524d\u8005\u306e\u65b9\u304c\u6b74\u53f2\u304c\u9577\u304f\u3001\u975e\u5e38\u306b\u5965\u304c\u6df1\u3044\u9818\u57df\u3067\u3059\u3002Evidence-Based Medicine (EBM)\u306b\u8208\u5473\u3092\u6301\u3063\u3066 … “\u4ea4\u7d61\u56e0\u5b50Confounders” \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8,2],"tags":[],"class_list":["post-968","post","type-post","status-publish","format-standard","hentry","category-essay","category-sr"],"_links":{"self":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/968","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=968"}],"version-history":[{"count":3,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/968\/revisions"}],"predecessor-version":[{"id":972,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/968\/revisions\/972"}],"wp:attachment":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=968"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=968"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=968"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Rothman KJ, Greenland S, Lash TL: Modern Epidemiology (3rd ed.) 2008 Lippincott Williams & Wilkins. PA, USA.
Schwartz S, Campbell UB, Gatto NM, Gordon K: Toward a clarification of the taxonomy of “bias” in epidemiology textbooks.\u00a0 2015;26:216-22. doi: 10.1097\/EDE.0000000000000224<\/a> PMID: 25536455<\/a><\/p>\n\n\n\n\u52b9\u679c\u6e2c\u5b9a\u5024Measures of effect<\/td> \u95a2\u9023\u6e2c\u5b9a\u5024Measures of association<\/td><\/tr> \u96c6\u56e3\u3068\u66b4\u9732\u4ee5\u5916\u306f\u540c\u3058\u53cd\u4e8b\u5b9f\u96c6\u56e3\u3092\u6bd4\u8f03\u3059\u308b\u3002<\/td> \u96c6\u56e3\u3068\u66b4\u9732\u3092\u53d7\u3051\u3066\u3044\u306a\u3044\u7570\u306a\u308b\u4eba\u3005\u306e\u7570\u306a\u308b\u96c6\u56e3\u3092\u6bd4\u8f03\u3059\u308b\u3002<\/td><\/tr><\/tbody><\/table>
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