Lunn M, McNeil D
St. Hughs College, Oxford, United Kingdom.
Biometrics. 1995 Jun;51(2):524-32.
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.
给出了两种用于生存分析中竞争风险模型参数联合估计的方法。在这两种情况下，均使用数据复制方法拟合Cox比例风险回归模型。原则上，假设风险独立，这两种方法可用于任意数量的不同失效类型。增强数据方法的优点是它限制了过度参数化，并且可以直接在现有软件上运行。这些方法被用于重新分析两项著名的已发表研究中的数据，从而提供了新的见解。
