期刊
STATISTICS IN MEDICINE
卷 28, 期 30, 页码 3782-3797出版社
WILEY
DOI: 10.1002/sim.3752
关键词
multivariate meta-analysis; composite likelihood; frailty; mixed models; counting process; multiple outcomes
类别
资金
- Netherlands Organization for Scientific Research [ZonMW 20128]
We address the problem of meta-analysis of pairs of survival curves under heterogeneity. Starting point for the meta-analysis is a set of studies, each comparing the same two treatments, containing information about multiple survival outcomes. Under heterogeneity, we model the number of events using an extension of the Poisson correlated gamma-frailty model with serial within-arm and positive between-arm correlations. The parameters of the models are estimated following a two-stage estimation procedure. In the first stage the underlying hazards and between-study variance are estimated using the marginals, while a second stage is used to estimate both within-arm and between-arm correlations. The methodology is illustrated with an observational study on breast cancer. Copyright (C) 2009 John Wiley & Sons, Ltd.
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