{"id":1494,"date":"2024-07-31T21:38:54","date_gmt":"2024-07-31T12:38:54","guid":{"rendered":"https:\/\/info.zanet.biz\/?p=1494"},"modified":"2024-08-01T08:05:15","modified_gmt":"2024-07-31T23:05:15","slug":"standardized-mean-difference-%ef%bc%88smd%ef%bc%89%e3%82%92%e7%94%a8%e3%81%84%e3%82%8bmeta-analysis","status":"publish","type":"post","link":"https:\/\/info.zanet.biz\/?p=1494","title":{"rendered":"Standardized Mean Difference \uff08SMD\uff09\u3092\u7528\u3044\u308bMeta-analysis"},"content":{"rendered":"\n

\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u3067\u7814\u7a76\u306b\u3088\u3063\u3066\u6e2c\u5b9a\u30b9\u30b1\u30fc\u30eb\u304c\u7570\u306a\u308b\u5834\u5408\u3001\u305d\u306e\u307e\u307e\u3067\u306f\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u7d71\u5408\u5024\u3092\u6c42\u3081\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u5834\u5408\u306f\u3001\u5404\u7814\u7a76\u304b\u3089\u5bfe\u7167\u7fa4\u306e\u5e73\u5747\u5024\u3068\u6a19\u6e96\u504f\u5dee\uff08SD\uff09\u3068\u4ecb\u5165\u7fa4\u306e\u5e73\u5747\u5024\u3068\u6a19\u6e96\u504f\u5dee\u306e\u5024\u3092\u62bd\u51fa\u3057\u3066\u5e73\u5747\u5024\u5deeMean Difference (MD)\u306e\u7d71\u5408\u5024\u306895%\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3057\u307e\u3059\u304c\u6e2c\u5b9a\u30b9\u30b1\u30fc\u30eb\u304c\u5171\u901a\u306e\u5834\u5408\u3057\u304b\u9069\u7528\u3067\u304d\u307e\u305b\u3093\u3002<\/p>\n\n\n\n

\u3053\u308c\u3089\u306e\u5e73\u5747\u5024\u3092\u6a19\u6e96\u504f\u5dee\u3067\u5272\u308a\u7b97\u3057\u305f\u5024\u3092\u5f97\u308b\u3053\u3068\u3092\u3001\u6a19\u6e96\u5316standardization\u3068\u8a00\u3044\u307e\u3059\u3002\u3082\u3057\u5404\u7fa4\u306e\u5024\u3092\u6a19\u6e96\u5316\u3059\u308b\u3068\u5e73\u5747\u5024\u306f\u6a19\u6e96\u504f\u5dee\u3092\u5358\u4f4d\u3068\u3057\u305f\u5024\u306b\u306a\u308a\u3001\u6a19\u6e96\u504f\u5dee\u306f1.0\u306b\u306a\u308a\u307e\u3059\u3002\u305d\u308c\u305e\u308c\u306e\u6a19\u6e96\u504f\u5dee\u3092\u5358\u4f4d\u3068\u3057\u305f\u5024\u306b\u5909\u63db\u3059\u308b\u3068\u3044\u3046\u610f\u5473\u306b\u306a\u308a\u3001\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u3067\u3001\u6e2c\u5b9a\u30b9\u30b1\u30fc\u30eb\u304c\u7570\u306a\u308b\u5834\u5408\u3001\u5404\u7814\u7a76\u306e\u5e73\u5747\u5024\u5dee\uff1d\u4ecb\u5165\u7fa4\u306e\u5e73\u5747\u5024\uff0d\u5bfe\u7167\u7fa4\u306e\u5e73\u5747\u5024\u3068\u6a19\u6e96\u5316\u3057\u305f\u5e73\u5747\u5024\u5dee\u306e\u6a19\u6e96\u8aa4\u5dee\u3042\u308b\u3044\u306f\u5206\u6563\u3092\u8a08\u7b97\u3057\u3066\u3001\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3092\u884c\u3044\u3001\u7d71\u5408\u5024\u306895%\u4fe1\u983c\u533a\u9593\u3092\u8a08\u7b97\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u5206\u6563\u9006\u6570\u6cd5\u3067\u3042\u308c\u3070\u3001\u5206\u6563\u306e\u9006\u6570\u3092\u91cd\u307f\u3068\u3057\u3066\u7528\u3044\u3001\u30e9\u30f3\u30c0\u30e0\u52b9\u679c\u30e2\u30c7\u30eb\u3067\u3042\u308c\u3070\u3001\u7814\u7a76\u9593\u306e\u5206\u6563\u306e\u5024\u3092\u5e73\u5747\u5024\u5dee\u306e\u5206\u6563\u306b\u52a0\u7b97\u3057\u3066\u3001\u305d\u306e\u9006\u6570\u3092\u91cd\u307f\u306b\u7528\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u5f97\u3089\u308c\u305f\u6a19\u6e96\u5316\u5e73\u5747\u5024\u5deeStandardized Mean Difference (SMD)\u306895%\u4fe1\u983c\u533a\u9593\u306e\u5024\u3092\u3001\u5206\u304b\u308a\u3084\u3059\u3044\u5143\u306e\u30b9\u30b1\u30fc\u30eb\u306b\u623b\u3057\u3066\u3001\u52b9\u679c\u306e\u5927\u304d\u3055\u3092\u8a55\u4fa1\u3059\u308b\u3053\u3068\u304c\u884c\u308f\u308c\u307e\u3059\u3002\u5143\u306e\u30b9\u30b1\u30fc\u30eb\u306b\u623b\u3059\u306b\u306f\u3001\u6a19\u6e96\u504f\u5dee\u306e\u5024\u304c\u5fc5\u8981\u3067\u3059\u3002\u307e\u305f\u3001SMD\u304c0.2\u306f\u5c0f\u3055\u306a\u52b9\u679c\u30010.5\u306f\u4e2d\u7b49\u5ea6\u306e\u52b9\u679c\u30010.8\u306f\u5927\u304d\u306a\u52b9\u679c\u3068\u3044\u3046\u8003\u3048\u65b9\u3092\u7528\u3044\u308b\u3053\u3068\u3082\u63d0\u6848\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

SMD\u3092\u7528\u3044\u308b\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u6f14\u7b97\u306f\u3001Keeds JJ, Higgins JPT:Statistical algorithms in Review Manager 5. 2010. Link<\/a> \u306b\u8a18\u8f09\u3055\u308c\u3066\u3044\u308b\u65b9\u6cd5\u306b\u5f93\u3063\u3066\u884c\u308f\u308c\u308b\u3053\u3068\u304c\u4e00\u822c\u7684\u3067\u3059\u3002\u8a08\u7b97\u306b\u7528\u3044\u3089\u308c\u308b\u5f0f\u3092\u56f31\u3068\u56f32\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\n\n\n\n

\"\"
\u56f31. Standardized Mean Difference\u3068\u305d\u306e\u5206\u6563\u306e\u8a08\u7b97\u5f0f\u3002<\/figcaption><\/figure>\n\n\n\n
\"\"
\u56f32\uff0eDerSimonian-Laird\u6cd5\u306b\u3088\u308b\u30e9\u30f3\u30c0\u30e0\u52b9\u679c\u30e2\u30c7\u30eb\u3092\u7528\u3044\u308b\u5206\u6563\u9006\u6570\u6cd5\u306b\u3088\u308b\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u8a08\u7b97\u5f0f\u3002<\/figcaption><\/figure>\n\n\n\n

\u3053\u308c\u3089\u306e\u8a08\u7b97\u306fExcel\u3067\u3082\u3067\u304d\u307e\u3059\u3057\u3001R\u306e\u30d1\u30c3\u30b1\u30fc\u30b8metafor\u3067\u3082\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u3001\u8457\u8005\u304c\u4f5c\u6210\u3057\u305fMeta-analysis IZ Link<\/a>\u3042\u308b\u3044\u306f Meta-analysis IZ r Link<\/a>\u3067\u3082\u3067\u304d\u307e\u3059\u3002Meta-analysis IZ r\u3067\u306fMinds\u306e\u8a55\u4fa1\u30b7\u30fc\u30c8\u306e\u30c7\u30fc\u30bf\u3092Reformat\u3057\u3066\u3001\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3092\u5b9f\u884c\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

metafor\u306fViechtbauer W\u6c0f\u306e\u4f5c\u6210\u3057\u305f\u512a\u308c\u305f\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u3059\u3002Link <\/a> \u4ee5\u4e0b\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u306fSMD\u3092\u7528\u3044\u305f\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u306e\u4e00\u4f8b\u3067\u3059\u3002escalc\uff08\uff09, rma\uff08\uff09,forest\uff08\uff09\u306fmetafor\u306e\u95a2\u6570\u3067\u3059\u3002<\/p>\n\n\n\n

est=escalc(measure=”SMD”, m1i=m1i,sd1i=sd1i,m2i=m2i,sd2i=sd2i,n1i=n1i,n2i=n2i, append=FALSE)
summary(est)
res=rma(yi, vi, data=est, method=”DL”)
summary(res)
forest(res, showweights=TRUE)<\/p>\n\n\n\n

m1i \u4ecb\u5165\u7fa4\u306e\u5e73\u5747\u5024
sd1i \u4ecb\u5165\u7fa4\u306e\u6a19\u6e96\u504f\u5dee
m2i \u5bfe\u7167\u7fa4\u306e\u5e73\u5747\u5024
sd2i \u5bfe\u7167\u7fa4\u306e\u6a19\u6e96\u504f\u5dee
n1i \u4ecb\u5165\u7fa4\u306e\u75c7\u4f8b\u6570
n2i \u5bfe\u7167\u7fa4\u306e\u75c7\u4f8b\u6570<\/p>\n\n\n\n

method=”DL”\u3067DerSimonian-Laird\u6cd5\u3001method=”REML”\u3067Restricted Maximum Likelihood \uff08REML\uff09\u6cd5\u3092\u6307\u5b9a\u3067\u304d\u307e\u3059\u3002<\/p>\n\n\n\n

\u306a\u304a\u3001\u3053\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u306fForest plot\u306e\u7d30\u304b\u3044\u8a2d\u5b9a\u306f\u3057\u3066\u3044\u307e\u305b\u3093\u3002<\/p>\n\n\n\n

SMD\u3092\u7528\u3044\u305f\u30b7\u30b9\u30c6\u30de\u30c6\u30a3\u30c3\u30af\u30ec\u30d3\u30e5\u30fc\u306e\u8ad6\u6587\u306e\u4e00\u4f8b\u3068\u3057\u3066\u3001Sekhar P, Tee QX, Ashraf G, Trinh D, Shachar J, Jiang A, Hewitt J, Green S, Turner T: Mindfulness-based psychological interventions for improving mental well-being in medical students and junior doctors. Cochrane Database Syst Rev 2021;12:CD013740. doi: 10.1002\/14651858.CD013740 PMID: 34890044 <\/a>\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u306e\u8ad6\u6587\u3067\u306fDerSimonian-Laird\u6cd5\u304c\u4f7f\u308f\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u3067\u7814\u7a76\u306b\u3088\u3063\u3066\u6e2c\u5b9a\u30b9\u30b1\u30fc\u30eb\u304c\u7570\u306a\u308b\u5834\u5408\u3001\u305d\u306e\u307e\u307e\u3067\u306f\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u7d71\u5408\u5024\u3092\u6c42\u3081\u308b\u3053\u3068\u306f\u3067\u304d\u307e\u305b\u3093\u3002\u9023\u7d9a\u5909\u6570\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u5834\u5408\u306f\u3001\u5404\u7814\u7a76\u304b\u3089\u5bfe\u7167\u7fa4\u306e\u5e73\u5747\u5024\u3068\u6a19\u6e96\u504f\u5dee\uff08SD\uff09\u3068\u4ecb\u5165\u7fa4\u306e\u5e73\u5747\u5024\u3068\u6a19\u6e96\u504f\u5dee\u306e\u5024\u3092 … “Standardized Mean Difference \uff08SMD\uff09\u3092\u7528\u3044\u308bMeta-analysis” \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":[32,2],"tags":[],"class_list":["post-1494","post","type-post","status-publish","format-standard","hentry","category-statistics","category-sr"],"_links":{"self":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/1494","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=1494"}],"version-history":[{"count":3,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/1494\/revisions"}],"predecessor-version":[{"id":1500,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/1494\/revisions\/1500"}],"wp:attachment":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1494"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1494"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1494"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}