JSM 2004 - Toronto

Abstract #301896

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Activity Number: 53
Type: Contributed
Date/Time: Sunday, August 8, 2004 : 4:00 PM to 5:50 PM
Sponsor: General Methodology
Abstract - #301896
Title: Simple Heterogeneity Variance Estimation for Meta-analysis
Author(s): Jeffrey N. Jonkman*+ and Kurex Sidik
Companies: Mississippi State University and Wyeth Research
Address: Dept. of Mathematics and Statistics, Mississippi State, MS, 39762,
Keywords: across-study variance ; weighted estimation ; confidence intervals
Abstract:

We propose a simple method of estimating the heterogeneity variance in a random effects model for meta-analysis. The estimator is simple and easy to calculate, and has reduced bias compared to the most commonly used estimator in random effects meta-analysis, particularly when the heterogeneity variance is moderate to large. Unlike some existing estimators, it always yields a non-negative estimate of the heterogeneity variance. We find that random effects inference about an overall effect based on this estimator is more reliable than inference using the common estimator, in terms of coverage probability for an interval estimate.

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