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Meta分析中异质性的处理方法。

Approaches to heterogeneity in meta-analysis.

作者信息

Petitti D B

机构信息

Kaiser Permanente Southern California, Pasadena, California, USA.

出版信息

Stat Med. 2001 Dec 15;20(23):3625-33. doi: 10.1002/sim.1091.

Abstract

This paper reviews publications from January 1999 to March 2001 on reproductive health topics that were self-identified as meta-analysis or were indexed as meta-analysis in MEDLINE. It sought to assess whether tests of statistical heterogeneity were done, whether the results were reported, and how a finding of significance for a test of statistical heterogeneity was handled and the results interpreted. The review identified some concerns. Tests of statistical heterogeneity were not done universally even though virtually all writers on the topic emphasize their importance. Even when done, results of these tests were not universally reported. Although the consensus appears to be that heterogeneity tests are conservative for meta-analysis of studies and a probability value of 0.10 is preferred, many meta-analyses used the conventional value of 0.05 without providing a reason. The rationale for the choice of a random or fixed effects model was not generally evident. The review also provided some positive models and some recommendations for assessing, reporting and exploring heterogeneity are made considering these models and the published recommendations of experts.

摘要

本文回顾了1999年1月至2001年3月间发表的关于生殖健康主题的文献,这些文献自我认定为荟萃分析或在MEDLINE中被索引为荟萃分析。它试图评估是否进行了统计异质性检验,结果是否被报告,以及对于统计异质性检验的显著性结果是如何处理和解释的。该综述发现了一些问题。即使该主题的几乎所有作者都强调统计异质性检验的重要性,但并非普遍进行此类检验。即使进行了检验,这些检验的结果也并非普遍报告。尽管对于研究的荟萃分析,异质性检验似乎较为保守且首选概率值为0.10,但许多荟萃分析使用传统的0.05值且未给出理由。选择随机效应模型或固定效应模型的基本原理通常并不明显。该综述还提供了一些积极的范例,并考虑这些范例以及专家已发表的建议,就评估、报告和探讨异质性提出了一些建议。

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