A Practical Method Adjusting for Publication Bias in Meta-analysis Based on p-value

N. Matsuoka, Chihiro Hasegawa, C. Hamada
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引用次数: 2

Abstract

Meta-analysis of randomized controlled trials is a widely used study methodology and it is considered to provide the highest level of evidence. The results of such analysis, however, by the nature of this methodology, may be affected by a very serious bias referred to as publication bias. Although the trim-and-fill method has been proposed as a means of adjusting for publication bias, it does not necessarily provide a suitable correction under realistic circumstances. This article proposes a new method to correct for publication bias based on p-value and evaluates the performance of this method by means of simulations. It is shown that the performance of the proposed method is superior to that of the trim-and-fill method under realistic situations.
基于p值调整meta分析发表偏倚的实用方法
随机对照试验的荟萃分析是一种广泛使用的研究方法,被认为可以提供最高水平的证据。然而,由于这种方法的性质,这种分析的结果可能会受到一种非常严重的偏倚的影响,这种偏倚被称为发表偏倚。虽然修剪填充法已被提出作为调整发表偏倚的一种手段,但它并不一定能在现实情况下提供适当的校正。本文提出了一种基于p值修正发表偏倚的新方法,并通过仿真对该方法的性能进行了评价。结果表明,在实际情况下,该方法的性能优于填充法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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