Literature DB >> 16450853

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

A Latouche1, R Porcher, S Chevret.   

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.

Mesh:

Year:  2005        PMID: 16450853     DOI: 10.1002/bimj.200410152

Source DB:  PubMed          Journal:  Biom J        ISSN: 0323-3847            Impact factor:   2.207


  21 in total

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10.  Risk factors for cerebrovascular disease mortality among the elderly in Beijing: a competing risk analysis.

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Journal:  PLoS One       Date:  2014-02-04       Impact factor: 3.240

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