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Detecting quantifying and adjusting for publication bias in meta-analyses: protocol of a systematic review on methods

机译:在荟萃分析中检测量化和调整出版物偏倚:系统评价方法的方案

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摘要

BackgroundHealth professionals and policymakers aspire to make healthcare decisions based on the entire relevant research evidence. This, however, can rarely be achieved because a considerable amount of research findings are not published, especially in case of ‘negative’ results - a phenomenon widely recognized as publication bias. Different methods of detecting, quantifying and adjusting for publication bias in meta-analyses have been described in the literature, such as graphical approaches and formal statistical tests to detect publication bias, and statistical approaches to modify effect sizes to adjust a pooled estimate when the presence of publication bias is suspected. An up-to-date systematic review of the existing methods is lacking.
机译:背景健康专业人员和政策制定者渴望根据所有相关研究证据做出医疗保健决策。但是,由于尚未发表大量研究成果,尤其是在“负面”结果(这种现象被广泛认为是出版偏见)的情况下,很难实现。文献中已经描述了在荟萃分析中检测,量化和调整发布偏倚的不同方法,例如图形方法和形式统计检验以检测发布偏倚,以及统计方法来修改效果大小以在存在时调整汇总估算值。怀疑存在出版偏见。缺乏对现有方法的最新系统评价。

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