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Stat Med. 2013 Mar 30;32(7):1191-205. doi: 10.1002/sim.5679. Epub 2012 Dec 3.

Estimating within-study covariances in multivariate meta-analysis with multiple outcomes.

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1
MRC Biostatistics Unit, Institute of Public Health, Robinson Way, Cambridge CB2 0SR, UK. y.wei@ctu.mrc.ac.uk

Abstract

Multivariate meta-analysis allows the joint synthesis of effect estimates based on multiple outcomes from multiple studies, accounting for the potential correlations among them. However, standard methods for multivariate meta-analysis for multiple outcomes are restricted to problems where the within-study correlation is known or where individual participant data are available. This paper proposes an approach to approximating the within-study covariances based on information about likely correlations between underlying outcomes. We developed methods for both continuous and dichotomous data and for combinations of the two types. An application to a meta-analysis of treatments for stroke illustrates the use of the approximated covariance in multivariate meta-analysis with correlated outcomes.

PMID:
23208849
PMCID:
PMC3618374
DOI:
10.1002/sim.5679
[Indexed for MEDLINE]
Free PMC Article
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