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. Copyright © 2012 John Wiley & Sons, Ltd.
| Original language | English |
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| Pages (from-to) | 1191-1205 |
| Number of pages | 15 |
| Journal | Statistics in Medicine |
| Volume | 32 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 30 Mar 2012 |