(1) Phillippo DM, Dias S, Welton NJ, Caldwell DM, Taske N, Ades AE: Threshold Analysis as an Alternative to GRADE for Assessing Confidence in Guideline Recommendations Based on Network Meta-analyses. Ann Intern Med 2019;170:538-546. PMID: 30909295<\/a>
(2) Guyatt G, Oxman AD, Sultan S, Brozek J, Glasziou P, Alonso-Coello P, Atkins D, Kunz R, Montori V, Jaeschke R, Rind D, Dahm P, Akl EA, Meerpohl J, Vist G, Berliner E, Norris S, Falck-Ytter Y, Sch\u00fcnemann HJ: GRADE guidelines: 11. Making an overall rating of confidence in effect estimates for a single outcome and for all outcomes. J Clin Epidemiol 2013;66:151-7. PMID: 22542023<\/a>
(3) Balshem H, Helfand M, Sch\u00fcnemann HJ, Oxman AD, Kunz R, Brozek J, Vist GE, Falck-Ytter Y, Meerpohl J, Norris S, Guyatt GH: GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol 2011;64:401-6. PMID: 21208779<\/a>
(4) Caldwell DM, Ades AE, Dias S, Watkins S, Li T, Taske N, Naidoo B, Welton NJ: A threshold analysis assessed the credibility of conclusions from network meta-analysis. J Clin Epidemiol 2016;80:68-76. PMID: 27430731<\/a>
(5) Phillippo DM, Dias S, Ades AE, Didelez V, Welton NJ: Sensitivity of treatment recommendations to bias in network meta-analysis. J R Stat Soc Ser A Stat Soc 2018;181:843-867. PMID: 30449954<\/a>
(6) Turner RM, Spiegelhalter DJ, Smith GC, Thompson SG: Bias modelling in evidence synthesis. J R Stat Soc Ser A Stat Soc 2009;172:21-47. PMID: 19381328<\/a><\/p>\n\n\n\n
\u4e0b\u306e\u56f3\u3092\u898b\u3066\u3001\u30d0\u30a4\u30a2\u30b9\u306e\u52b9\u679c\u306b\u3064\u3044\u3066\u3061\u3087\u3063\u3068\u8003\u3048\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n 2019\u5e74\u306bAnnals of Internal Medicine\u306bPhillippo DM\u3089\u304b\u3089\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306b\u3088\u308b\u30a8\u30d3\u30c7\u30f3\u30b9\u306e\u78ba\u5b9f\u6027\u304b\u3089\u3055\u3089\u306b\u81e8\u5e8a\u6c7a\u65ad\u3078\u306e\u30d0\u30a4\u30a2\u30b9\u306e\u5f71\u97ff\u3092\u8a55\u4fa1\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u65b0\u3057\u3044\u624b\u6cd5\u304c\u5831 … “Bias adjustment thresholds” \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":[27,5,3,32,2],"tags":[],"class_list":["post-796","post","type-post","status-publish","format-standard","hentry","category-benefit-harm-assessment","category-cpg","category-mdm","category-statistics","category-sr"],"_links":{"self":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/796","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=796"}],"version-history":[{"count":2,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/796\/revisions"}],"predecessor-version":[{"id":800,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/796\/revisions\/800"}],"wp:attachment":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=796"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=796"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=796"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/info.zanet.biz\/wp\/wp-content\/uploads\/2020\/01\/bias_effect-1024x554.png\")