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

By Aurelien Latouche, Raphaël Porcher and Sylvie Chevret


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

Topics: [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie
Publisher: HAL CCSD
Year: 2005
OAI identifier: oai:HAL:inserm-00000106v1
Provided by: Hal-Diderot
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