Meta-analysis of pairs of survival curves under heterogeneity: A Poisson correlated gamma-frailty approach
Meta-analysis of pairs of survival curves under heterogeneity: A Poisson correlated gamma-frailty approach
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DOI：
10.1002/sim.3752
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发表时间：
2009-12-30
影响因子：
2
通讯作者：
van Houwelingen, J. C.
中科院分区：
文献类型：
--
作者：
Fiocco, M.;Putter, H.;van Houwelingen, J. C.
我们解决了异质性下生存曲线对的荟萃分析问题。荟萃分析的起点是一组研究，每项研究都比较了相同的两种治疗方法，包含有关多种生存结局的信息。在异质性条件下，我们使用扩展的Poisson相关γ-脆弱性模型对事件数量进行建模，该模型具有连续的组内相关性和组间正相关性，模型的参数按照两阶段估计程序进行估计。在第一阶段中，使用边缘值估计潜在风险和研究间方差，而第二阶段用于估计组内和组间相关性。该方法是说明与乳腺癌的观察性研究。版权所有（C）2009约翰威利父子有限公司
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.