Some general points in estimating heterogeneity variance with the DerSimonian-Laird estimator.

نویسندگان

  • Dankmar Böhning
  • Uwe Malzahn
  • Ekkehart Dietz
  • Peter Schlattmann
  • Chukiat Viwatwongkasem
  • Annibale Biggeri
چکیده

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.

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عنوان ژورنال:
  • Biostatistics

دوره 3 4  شماره 

صفحات  -

تاریخ انتشار 2002