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探索元分析中的异质性:需求、资源与挑战。

Exploring heterogeneity in meta-analyses: needs, resources and challenges.

作者信息

Xu Hairong, Platt Robert W, Luo Zhong-Cheng, Wei Shuqin, Fraser William D

机构信息

Department of Obstetrics and Gynecology, Hôpital Sainte-Justine, Université de Montréal, Montréal, Québec, Canada.

出版信息

Paediatr Perinat Epidemiol. 2008 Jan;22 Suppl 1:18-28. doi: 10.1111/j.1365-3016.2007.00908.x.

DOI:10.1111/j.1365-3016.2007.00908.x
PMID:18237348
Abstract

The investigation of heterogeneity remains an essential but difficult issue in the conduct of meta-analysis. We reviewed standard and graphical methods used to explore heterogeneity in meta-analysis and publications from January 2005 to April 2007 regarding meta-analyses that focused on perinatal health topics. We assessed their approaches to the investigation of heterogeneity, including: (1) whether statistical testing for heterogeneity was performed and, if so, which test was used, (2) how a finding of statistically significant heterogeneity was handled, and (3) how the analyses were conducted in the presence of heterogeneity.

摘要

在进行荟萃分析时,异质性研究仍然是一个重要但困难的问题。我们回顾了用于探索荟萃分析中异质性的标准方法和图形方法,以及2005年1月至2007年4月期间关于围产期健康主题的荟萃分析的出版物。我们评估了它们对异质性研究的方法,包括:(1)是否进行了异质性的统计检验,如果进行了,使用了哪种检验;(2)如何处理统计学上显著异质性的发现;(3)在存在异质性的情况下如何进行分析。

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