Modelling clustered survival data from multicentre clinical trials
Modelling clustered survival data from multicentre clinical trials
复制标题
DOI：
10.1002/sim.1599
复制
发表时间：
2004-02-15
影响因子：
2
通讯作者：
Vittinghoff, E
中科院分区：
文献类型：
--
作者：
Glidden, DV;Vittinghoff, E
在随机临床试验中，受试者是在多个研究中心招募的。不同中心的不同因素可能会对研究结果产生强大的独立影响。一个常见的问题是如何将这些中心效应纳入对经过审查的事件时间数据的分析中。我们调查了各种方法并发现伽马脆弱模型具有显着的优势。该方法与竞争方法相比具有优势，并且似乎受违反伽马分布脆弱性假设的影响最小。最近的计算进展使伽马脆弱模型成为一种实用且有吸引力的工具，用于解决多中心试验分析中的中心效应。版权所有 (C) 2004 John Wiley Sons, Ltd.
In randomized clinical trials, subjects are recruited at multiple study centres. Factors that vary across centres may exert a powerful independent influence on study outcomes. A common problem is how to incorporate these centre effects into the analysis of censored time-to-event data. We survey various methods and find substantial advantages in the gamma frailty model. This approach compares favourably with competing methods and appears minimally affected by violation of the assumption of a gamma-distributed frailty. Recent computational advances make use of the gamma frailty model a practical and appealing tool for addressing centre effects in the analysis of multicentre trials. Copyright (C) 2004 John Wiley Sons, Ltd.