Publication View

Semi- and non-parametric competing risks analysis of right censored data and failure cause missing completely at random (2007)

Abstract
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate competing risks model with censoring and failure cause possibly missing completely at random. Estimators of the unknown parameters are proposed in order to satisfy some optimality criteria. Large ample results are given for all the estimators. Our nonparametric method is applied to a real data set and the behavior of the semiparametric estimators are analyzed through a Monte Carlo study.

Publication details
Download http://hal.archives-ouvertes.fr/hal-00193032/en/
Publisher HAL - CCSD
Repository CCSd/HAL : e-articles server (based on gBUS) (France)
Keywords Mathematics/Statistics, Statistics/Theory, Additive hazards, competing risks, counting processes, missing failure cause, reliability, survival analysis
Language English
Relation http://hal.archives-ouvertes.fr/docs/00/19/30/32/PDF/BDJ-07.pdf