Revisiting the cumulative incidence function with competing risks data

David M. Zucker*, Malka Gorfine

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We consider estimation of the cumulative incidence function (CIF) in the competing risks Cox model. We study three methods. Methods 1 and 2 are existing methods while method 3 is a newly proposed method. Method 3 is constructed so that the sum of the CIF’s across all event types at the last observed event time is guaranteed, assuming no ties, to be equal to 1. The performance of the methods is examined via simulation, and they are illustrated on data from the field of computer code comprehension. The newly proposed method 3 exhibits performance comparable to that of methods 1 and 2 in terms of bias and variance, and better than that of Methods 1 and 2 in terms of confidence interval coverage rates.

Original languageAmerican English
Pages (from-to)498-518
Number of pages21
JournalJournal of the Royal Statistical Society. Series C: Applied Statistics
Volume72
Issue number2
DOIs
StatePublished - May 2023

Bibliographical note

Publisher Copyright:
© (RSS) Royal Statistical Society 2023. All rights reserved.

Keywords

  • Cox regression
  • competing events
  • computer program comprehension
  • prediction
  • survival analysis

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