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.
Описание
A note on including time-dependent covariate in regression model for competing risks data. - PubMed - NCBI
%0 Journal Article
%1 Latouche:2005:Biom-J:16450853
%A Latouche, A
%A Porcher, R
%A Chevret, S
%D 2005
%J Biom J
%K CompetingRisks Multi-stateModels SurvivalAnalysis bias statistics
%N 6
%P 807-814
%T A note on including time-dependent covariate in regression model for competing risks data
%U https://www.ncbi.nlm.nih.gov/pubmed/16450853
%V 47
%X 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.
@article{Latouche:2005:Biom-J:16450853,
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.},
added-at = {2018-09-20T20:44:19.000+0200},
author = {Latouche, A and Porcher, R and Chevret, S},
biburl = {https://www.bibsonomy.org/bibtex/2e05c9f8ff8c29c13a0f362d3676235ca/jkd},
description = {A note on including time-dependent covariate in regression model for competing risks data. - PubMed - NCBI},
interhash = {7bd8da4e88ee0b819ad6f0ba10188b7e},
intrahash = {e05c9f8ff8c29c13a0f362d3676235ca},
journal = {Biom J},
keywords = {CompetingRisks Multi-stateModels SurvivalAnalysis bias statistics},
month = dec,
number = 6,
pages = {807-814},
pmid = {16450853},
timestamp = {2018-09-20T20:44:19.000+0200},
title = {A note on including time-dependent covariate in regression model for competing risks data},
url = {https://www.ncbi.nlm.nih.gov/pubmed/16450853},
volume = 47,
year = 2005
}