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Updated: Aug 13, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
A note on including time-dependent covariate in regression model for competing risks data
A Latouche1, R Porcher, S Chevret
1Département de Biostatistique et Informatique Médicale, Hôpital Saint-Louis, AP-HP, Inserm U717, F-75010 Paris, France. aurelien.latouche@paris7.jussieu.fr
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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