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Competing Risks and Survival Analysis

In: Developments in Statistical Evaluation of Clinical Trials

Author

Listed:
  • Kees van Montfort

    (Erasmus Medical Center, Department of Biostatistics)

  • Peter Fennema

    (Advanced Medical Research)

  • Wendimagegn Ghidey

    (Erasmus Medical Center, Department of Hematology)

Abstract

The analysis of time-to-event data in the presence of competing risks is part of many studies today. However, the impact of the interrelationship between the competing risks on the interpretation of the results seems to be unclear to many researchers, however. We try to provide a guide to researchers interested in analysing competing risks data. Estimation of the cause-specific hazard function, the cumulative incidence function, the Gray test statistic, and the multi-stage models for analysing competing risks data are explained. Furthermore, we apply the theoretical methodology and illustrate the fundamental problems of interpreting the results of competing risk analyses by using empirical data in the field of outcome research in orthopaedics.

Suggested Citation

  • Kees van Montfort & Peter Fennema & Wendimagegn Ghidey, 2014. "Competing Risks and Survival Analysis," Springer Books, in: Kees van Montfort & Johan Oud & Wendimagegn Ghidey (ed.), Developments in Statistical Evaluation of Clinical Trials, edition 127, chapter 0, pages 85-96, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-55345-5_5
    DOI: 10.1007/978-3-642-55345-5_5
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