Applying Cox regression to competing risks

Mary Lunn*, Don McNeil

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    778 Citations (Scopus)


    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 languageEnglish
    Pages (from-to)524-532
    Number of pages9
    Issue number2
    Publication statusPublished - Jun 1995


    • Censoring
    • Cox regression
    • Data duplication
    • Failure type
    • Independent competing risks


    Dive into the research topics of 'Applying Cox regression to competing risks'. Together they form a unique fingerprint.

    Cite this