Add to ORKGWe 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
In medical studies or in reliability analysis an investigator is often interested in the assessment ...
We consider the problem of estimating the regression coefficients in a competing risks model, where ...
Abstract. In this paper, we consider the problem of hazard rate estimation in presence of co-variate...
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate c...
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate c...
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate c...
International audienceIn this paper, we consider a semiparametric model for lifetime data with compe...
Abstract: Competing risks data arise when study subjects may experience several different types of f...
In this article, a competing risk model is analyzed in the presence of complete and censored data wh...
Parametric estimation of cause-specific hazard functions in a competing risks model is considered. A...
Semi- and non-parametric competing risks analysis of right censored data and failure caus
Competing risks are frequently overlooked, and the event of interest is analyzed with conventional s...
In survival or reliability studies, it is common to have truncated data due to the limited time span...
International audienceIn this paper, we consider a semiparametric model for lifetime data with compe...
Nonparametric estimators for competing risks data can be applied to semicompeting risks data, a type...
In medical studies or in reliability analysis an investigator is often interested in the assessment ...
We consider the problem of estimating the regression coefficients in a competing risks model, where ...
Abstract. In this paper, we consider the problem of hazard rate estimation in presence of co-variate...
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate c...
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate c...
We consider a nonparametric and a semiparametric (in presence of covariates) additive hazards rate c...
International audienceIn this paper, we consider a semiparametric model for lifetime data with compe...
Abstract: Competing risks data arise when study subjects may experience several different types of f...
In this article, a competing risk model is analyzed in the presence of complete and censored data wh...
Parametric estimation of cause-specific hazard functions in a competing risks model is considered. A...
Semi- and non-parametric competing risks analysis of right censored data and failure caus
Competing risks are frequently overlooked, and the event of interest is analyzed with conventional s...
In survival or reliability studies, it is common to have truncated data due to the limited time span...
International audienceIn this paper, we consider a semiparametric model for lifetime data with compe...
Nonparametric estimators for competing risks data can be applied to semicompeting risks data, a type...
In medical studies or in reliability analysis an investigator is often interested in the assessment ...
We consider the problem of estimating the regression coefficients in a competing risks model, where ...
Abstract. In this paper, we consider the problem of hazard rate estimation in presence of co-variate...