Applying Cox regression to competing risks

Mary Lunn; Don McNeil

doi:10.2307/2532940

Applying Cox regression to competing risks

Mary Lunn^*, Don McNeil

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

818 Citations (Scopus)

Abstract

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 overparametrisation and it runs immediately on existing software. The methods are used to reanalyse data from two well-known published studies, providing new insights.

Original language	English
Pages (from-to)	524-532
Number of pages	9
Journal	Biometrics
Volume	51
Issue number	2
DOIs	https://doi.org/10.2307/2532940
Publication status	Published - Jun 1995

Keywords

Censoring
Cox regression
Data duplication
Failure type
Independent competing risks

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10.2307/2532940

Cite this

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KW - Failure type

KW - Independent competing risks

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Applying Cox regression to competing risks

Abstract

Keywords

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