期刊
STATISTICS IN MEDICINE
卷 32, 期 7, 页码 1191-1205出版社
WILEY
DOI: 10.1002/sim.5679
关键词
multivariate meta-analysis; correlated outcomes; nested events; delta method; within-study correlation
类别
资金
- Medical Research Council [U105285807]
- Medical Research Council [MC_U105285807, MC_EX_G0800814] Funding Source: researchfish
- MRC [MC_EX_G0800814, MC_U105285807] Funding Source: UKRI
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 (c) 2012 John Wiley & Sons, Ltd.
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