使用DerSimonian-Laird估计量估计异质性方差的一些一般要点。
Some general points in estimating heterogeneity variance with the DerSimonian-Laird estimator.
作者信息
Böhning Dankmar, Malzahn Uwe, Dietz Ekkehart, Schlattmann Peter, Viwatwongkasem Chukiat, Biggeri Annibale
机构信息
Department of Epidemiology, Free University Berlin, Haus 562, Fabeckstr. 60-62, 14195 Berlin, Germany.
出版信息
Biostatistics. 2002 Dec;3(4):445-57. doi: 10.1093/biostatistics/3.4.445.
In this paper we consider estimating heterogeneity variance with the DerSimonian-Laird (DSL) estimator as typically used in meta-analysis. In its general form the DSL estimator requires inverse population-averaged study-specific variances as weights, in which case the estimator is unbiased. It has become common practice, however, to use estimates of the study-specific variances instead of their population-averaged versions. This can lead to considerable bias. Simulations illustrate these findings.
在本文中，我们考虑使用荟萃分析中常用的DerSimonian-Laird（DSL）估计器来估计异质性方差。DSL估计器的一般形式要求将总体平均的研究特异性方差的倒数作为权重，在这种情况下，该估计器是无偏的。然而，使用研究特异性方差的估计值而非其总体平均版本已成为常见做法。这可能会导致相当大的偏差。模拟结果说明了这些发现。
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