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A note on including time-dependent covariate in regression model for competing risks data.

Abstract : Recently, regression analysis of the cumulative incidence function has gained interest in competing risks data analysis, through the model proposed by Fine and Gray (JASA 1999; 94: 496-509). In this note, we point out that inclusion of time-dependent covariates in this model can lead to serious bias. We illustrate the problems arising in such a context, using bone marrow transplant data as a working example and numerical simulations. Practical advices are given, preventing the misuse of this model.
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https://www.hal.inserm.fr/inserm-00000106
Contributor : Aurelien Latouche <>
Submitted on : Wednesday, May 24, 2006 - 10:58:42 AM
Last modification on : Saturday, March 28, 2020 - 2:09:49 AM
Long-term archiving on: : Saturday, April 3, 2010 - 11:13:46 PM

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  • HAL Id : inserm-00000106, version 1
  • PUBMED : 16450853

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Aurelien Latouche, Raphaël Porcher, Sylvie Chevret. A note on including time-dependent covariate in regression model for competing risks data.. Biom J, 2005, 47, pp.807-14. ⟨inserm-00000106⟩

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