A Note on Including Time‐dependent Covariate in Regression Model for Competing Risks Data | Zendy

Latouche A. | Zendy; Porcher R. | Zendy; Chevret S. | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Premium

A Note on Including Time‐dependent Covariate in Regression Model for Competing Risks Data

Author(s) -

Latouche A.,

Porcher R.,

Chevret S.

Publication year - 2005

Publication title -

biometrical journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.108

H-Index - 63

eISSN - 1521-4036

pISSN - 0323-3847

DOI - 10.1002/bimj.200410152

Subject(s) - covariate , econometrics , regression analysis , context (archaeology) , computer science , cumulative incidence , statistics , regression , mathematics , geography , cohort , archaeology

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. (© 2005 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here

Accelerating Research