Extending DerSimonian and Laird's methodology to perform multivariate random effects meta-analyses
Article first published online: 30 APR 2009
Copyright © 2009 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 29, Issue 12, pages 1282–1297, 30 May 2010
How to Cite
Jackson, D., White, I. R. and Thompson, S. G. (2010), Extending DerSimonian and Laird's methodology to perform multivariate random effects meta-analyses. Statist. Med., 29: 1282–1297. doi: 10.1002/sim.3602
- Issue published online: 19 MAY 2010
- Article first published online: 30 APR 2009
- Manuscript Accepted: 19 MAR 2009
- Manuscript Received: 11 SEP 2008
- UK Medical Research Council. Grant Numbers: U.1052.00.006, U.1052.00.001
- multivariate meta-analysis;
- random effects model;
- moment estimator;
Multivariate meta-analysis is increasingly used in medical statistics. In the univariate setting, the non-iterative method proposed by DerSimonian and Laird is a simple and now standard way of performing random effects meta-analyses. We propose a natural and easily implemented multivariate extension of this procedure which is accessible to applied researchers and provides a much less computationally intensive alternative to existing methods. In a simulation study, the proposed procedure performs similarly in almost all ways to the more established iterative restricted maximum likelihood approach. The method is applied to some real data sets and an extension to multivariate meta-regression is described. Copyright © 2009 John Wiley & Sons, Ltd.