APPLYING COX REGRESSION TO COMPETING RISKS
APPLYING COX REGRESSION TO COMPETING RISKS
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DOI：
10.2307/2532940
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发表时间：
1995-06-01
期刊：
影响因子：
1.9
通讯作者：
MCNEIL, N
中科院分区：
文献类型：
--
作者：
LUNN, M;MCNEIL, N
给出了生存分析中竞争风险模型参数联合估计的两种方法。在这两种情况下，使用数据复制方法拟合考克斯比例风险回归模型。原则上，任何一种方法都可以用于任何数量的不同故障类型，假设独立的风险。增强数据方法的优点是它限制了过度参数化，并且可以在现有软件上立即运行。这些方法用于重新分析两项著名的已发表研究的数据，提供了新的见解。
Two methods are given for the joint estimation of parameters in models for competing risks in survival analysis. In both cases Cox's proportional hazards regression model is fitted using a data duplication method. In principle either method can be used for any number of different failure types, assuming independent risks. Advantages of the augmented data approach are that it limits over-parametrisation and it runs immediately on existing software. The methods are used to reanalyse data from two well-known published studies, providing new insights.