Original paper
Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change
Abstract
A primary goal of meta-analysis is to improve the estimation of treatment effects by pooling results of similar studies. This article explains how the most widely used method for pooling heterogeneous studies--the Der Simonian-Laird (DL) estimator--can produce biased estimates with falsely high precision. A classic example is presented to show that use of the DL estimator can lead to erroneous conclusions. Particular problems with the DL...
Paper Details
Title
Random-Effects Meta-analysis of Inconsistent Effects: A Time for Change
Published Date
Feb 18, 2014
Journal
Volume
160
Issue
4
Pages
267 - 270
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Notes
History