\u30d0\u30a4\u30a2\u30b9\u306e\u52b9\u679c\u3068\u30d0\u30a4\u30a2\u30b9\u8abf\u6574\u306b\u3064\u3044\u3066\u56f3\u306b\u3057\u3066\u307f\u307e\u3057\u305f\u3002<\/p>\n\n\n\n \u30d0\u30a4\u30a2\u30b9\u306e\u52b9\u679c\u306b\u306f\u5927\u304d\u3055\u3068\u65b9\u5411\uff08\u904e\u5927\u8a55\u4fa1\u3001\u904e\u5c0f\u8a55\u4fa1\uff09\u3068\u4e0d\u78ba\u5b9f\u6027\u306e3\u3064\u306e\u8981\u7d20\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n \u30d0\u30a4\u30a2\u30b9\u306e\u52b9\u679c\u3092\u5b9a\u91cf\u7684\u89e3\u6790\u3059\u308b\u5834\u5408\u306b\u306f\u3001\u4f8b\u3048\u3070\u3001\u30ea\u30b9\u30af\u6bd4\u3042\u308b\u3044\u306f\u30aa\u30c3\u30ba\u6bd4\u3092\u52b9\u679c\u6307\u6a19\u306b\u3057\u305f\u5834\u5408\u3001\u81ea\u7136\u5bfe\u6570\u306b\u5909\u63db\u3059\u308b\u3068\u3001\u6b63\u898f\u5206\u5e03\u306b\u5f93\u3046\u3068\u307f\u306a\u305b\u3001\u7814\u7a76\u3067\u5f97\u3089\u308c\u305f\u52b9\u679c\u63a8\u5b9a\u5024\u306f\u771f\u306e\u5024\u3068\u30d0\u30a4\u30a2\u30b9\u52b9\u679c\u306e\u52a0\u7b97\u3055\u308c\u305f\u5024\u306b\u306a\u308a\u307e\u3059\u3002\u30d0\u30a4\u30a2\u30b9\u8abf\u6574\u3092\u3059\u308b\u5834\u5408\u306f\u3001\u63a8\u5b9a\u3055\u308c\u308b\u30d0\u30a4\u30a2\u30b9\u52b9\u679c\u306e\u5927\u304d\u3055\u3092\u30ea\u30b9\u30af\u6bd4\u3067\u8868\u3057\u3001\u305d\u306e\u81ea\u7136\u5bfe\u6570\u3092\u5f15\u304d\u7b97\u3059\u308b\u3053\u3068\u3067\u3001\u771f\u306e\u5024\u304c\u5f97\u3089\u308c\u306f\u305a\u3067\u3059\u3002\u5206\u6563\u306f\u4e21\u8005\u306e\u5408\u8a08\u306b\u306a\u308a\u307e\u3059\u3002\u591a\u5909\u91cf\u6b63\u898f\u5206\u5e03\u306e\u539f\u7406\u3067\u3059\u3002<\/p>\n\n\n\n \u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3067\u5f97\u3089\u308c\u305f\u7d71\u5408\u5024\u306e95%\u4fe1\u983c\u533a\u9593\u306e\u4e0a\u9650\u5024\uff08\u3042\u308b\u3044\u306f\u4e0b\u9650\u5024\uff09\u304cNull effect\u3042\u308b\u3044\u306f\u81e8\u5e8a\u7684\u95be\u5024\u3092\u8d85\u3048\u308b\u307b\u3069\u306e\u5927\u304d\u3055\u306e\u30d0\u30a4\u30a2\u30b9\u306e\u52b9\u679c\u306f\u7c21\u5358\u306b\u8a08\u7b97\u3067\u304d\u307e\u3059\u3002\u4e00\u822c\u7684\u306b\u884c\u308f\u308c\u3066\u3044\u308b\u30d0\u30a4\u30a2\u30b9\u30ea\u30b9\u30afRisk of bias\u306e\u8a55\u4fa1\u7d50\u679c\u3067\u30d0\u30a4\u30a2\u30b9\u30ea\u30b9\u30af\u304c\u9ad8\u304f\u3001\u30d0\u30a4\u30a2\u30b9\u306e\u5927\u304d\u3055\u304c\u3053\u306e\u5024\u3088\u308a\u3082\u5927\u304d\u306a\u52b9\u679c\u3092\u6301\u3063\u3066\u3044\u308b\u3068\u5224\u65ad\u3067\u304d\u308b\u5834\u5408\u306f\u3001\u30a8\u30d3\u30c7\u30f3\u30b9\u306e\u78ba\u5b9f\u6027\u304c\u4f4e\u304f\u306a\u308b\u3068\u8003\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3082\u3057\u3001\u305d\u306e\u3088\u3046\u306a\u30d0\u30a4\u30a2\u30b9\u52b9\u679c\u306e\u5927\u304d\u3055\u304c\u3042\u308a\u5f97\u306a\u3044\u307b\u3069\u5927\u304d\u3044\u306e\u3067\u3042\u308c\u3070\u3001\u3042\u308b\u7a0b\u5ea6\u306e\u30d0\u30a4\u30a2\u30b9\u30ea\u30b9\u30af\u304c\u3042\u3063\u3066\u3082\u3001\u30a8\u30d3\u30c7\u30f3\u30b9\u306e\u78ba\u5b9f\u6027\u306f\u9ad8\u3044\u3068\u8003\u3048\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3067\u3057\u3087\u3046\u3002<\/p>\n\n\n\n \u6587\u732e\uff1a Turner RM, Lloyd-Jones M, Anumba DO, Smith GC, Spiegelhalter DJ, Squires H, Stevens JW, Sweeting MJ, Urbaniak SJ, Webster R, Thompson SG: Routine antenatal anti-D prophylaxis in women who are Rh(D) negative: meta-analyses adjusted for differences in study design and quality. PLoS One 2012;7:e30711. PMID: 22319580<\/a><\/p>\n\n\n\n Darvishian M, Gefenaite G, Turner RM, Pechlivanoglou P, Van der Hoek W, Van den Heuvel ER, Hak E: After adjusting for bias in meta-analysis seasonal influenza vaccine remains effective in community-dwelling elderly. J Clin Epidemiol 2014;67:734-44. PMID: 24768004<\/a><\/p>\n\n\n\n Dias S, Sutton AJ, Welton NJ, Ades AE: Evidence synthesis for decision making 3: heterogeneity–subgroups, meta-regression, bias, and bias-adjustment. Med Decis Making 2013;33:618-40. PMID: 23804507<\/a><\/p>\n\n\n\n Thompson S, Ekelund U, Jebb S, Lindroos AK, Mander A, Sharp S, Turner R, Wilks D: A proposed method of bias adjustment for meta-analyses of published observational studies. Int J Epidemiol 2011;40:765-77. PMID: 21186183<\/a><\/p>\n\n\n\n Wilks DC, Mander AP, Jebb SA, Thompson SG, Sharp SJ, Turner RM, Lindroos AK: Dietary energy density and adiposity: employing bias adjustments in a meta-analysis of prospective studies. BMC Public Health 2011;11:48. PMID: 21255448<\/a><\/p>\n\n\n\n Wilks DC, Sharp SJ, Ekelund U, Thompson SG, Mander AP, Turner RM, Jebb SA, Lindroos AK: Objectively measured physical activity and fat mass in children: a bias-adjusted meta-analysis of prospective studies. PLoS One 2011;6:e17205. PMID: 21383837<\/a><\/p>\n\n\n\n Schnell-Inderst P, Iglesias CP, Arvandi M, Ciani O, Matteucci Gothe R, Peters J, Blom AW, Taylor RS, Siebert U: A bias-adjusted evidence synthesis of RCT and observational data: the case of total hip replacement. Health Econ 2017;26 Suppl 1:46-69. PMID: 28139089<\/a><\/p>\n\n\n\n Doi SA, Barendregt JJ, Onitilo AA: Methods for the bias adjustment of meta-analyses of published observational studies. J Eval Clin Pract 2013;19:653-7. PMID: 22845171<\/a><\/p>\n\n\n\n McCarron CE, Pullenayegum EM, Thabane L, Goeree R, Tarride JE: Bayesian hierarchical models combining different study types and adjusting for covariate imbalances: a simulation study to assess model performance. PLoS One 2011;6:e25635. PMID: 22016772<\/a><\/p>\n\n\n\n McCarron CE, Pullenayegum EM, Thabane L, Goeree R, Tarride JE: The importance of adjusting for potential confounders in Bayesian hierarchical models synthesising evidence from randomised and non-randomised studies: an application comparing treatments for abdominal aortic aneurysms. BMC Med Res Methodol 2010;10:64. PMID: 20618973<\/a><\/p>\n\n\n\n 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><\/p>\n\n\n\n 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><\/p>\n\n\n\n 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><\/p>\n","protected":false},"excerpt":{"rendered":" \u30d0\u30a4\u30a2\u30b9\u306e\u52b9\u679c\u306f\u30ea\u30b9\u30af\u6bd4\u3042\u308b\u3044\u306f\u30aa\u30c3\u30ba\u6bd4\u306a\u3069\u3067\u8868\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30d0\u30a4\u30a2\u30b9\u306e\u52b9\u679c\u3092\u5b9a\u91cf\u7684\u306b\u63a8\u5b9a\u3067\u304d\u308b\u306e\u3067\u3042\u308c\u3070\u3001\u5b9f\u969b\u306b\u5f97\u3089\u308c\u305f\u52b9\u679c\u63a8\u5b9a\u5024\u3092\u305d\u308c\u3067\u8abf\u6574\u3057\u3066\u771f\u306e\u5024\u306b\u3088\u308a\u8fd1\u3065\u3051\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002 \u30d0\u30a4\u30a2\u30b9\u306e\u30e2\u30c7\u30eb\u5316\u306b\u3064\u3044\u3066\u306fT … “\u30d0\u30a4\u30a2\u30b9\u306e\u52b9\u679c\u3068\u30d0\u30a4\u30a2\u30b9\u8abf\u6574” \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-812","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\/812","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=812"}],"version-history":[{"count":3,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/812\/revisions"}],"predecessor-version":[{"id":818,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=\/wp\/v2\/posts\/812\/revisions\/818"}],"wp:attachment":[{"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=812"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=812"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/info.zanet.biz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=812"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"\"](\"https:\/\/info.zanet.biz\/wp\/wp-content\/uploads\/2020\/03\/bias-adjustment-1024x561.png\")
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