A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses
Abstract
Studies combined in a meta‐analysis often have differences in their design and conduct that can lead to heterogeneous results. A random‐effects model accounts for these differences in the underlying study effects, which includes a heterogeneity variance parameter. The DerSimonian‐Laird method is often used to estimate the heterogeneity variance, but simulation studies have found the method can be biased and other methods are available. This...
Paper Details
Title
A comparison of heterogeneity variance estimators in simulated random‐effects meta‐analyses
Published Date
Sep 6, 2018
Journal
Volume
10
Issue
1
Pages
83 - 98
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