APPLYING COX REGRESSION TO COMPETING RISKS

被引：799

作者：

LUNN, M

MCNEIL, N

机构：

[1] UNIV SYDNEY,NHMRC,CTR CLIN TRIALS,SYDNEY,NSW 2006,AUSTRALIA

[2] MACQUARIE UNIV,SYDNEY,NSW 2006,AUSTRALIA

来源：

BIOMETRICS | 1995年 / 51卷 / 02期

关键词：

CENSORING; COX REGRESSION; DATA DUPLICATION; FAILURE TYPE; INDEPENDENT COMPETING;

D O I：

10.2307/2532940

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：524 / 532

页数：9

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