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
The work in this thesis is concerned with the development of techniques for the assessment of statis...
The cumulative incidence is the probability of failure from the cause of interest over a certain tim...
Clinical trials and cohort studies that collect survival data frequently involve patients who may fa...
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...
In this paper we consider a competing risks model including covariates in which the observations are...
International audienceIn this paper, we consider the problem of hazard rate estimation in presence o...
Interval-censored competing risks data arise when each study subject may experience an event or fail...
Semi- and non-parametric competing risks analysis of right censored data and failure caus
Abstract: Competing risks data arise when study subjects may experience several different types of f...
AbstractIn competing risks model, several failure times arise potentially. The smallest failure time...
In medical studies or in reliability analysis an investigator is often interested in the assessment ...
In clinical and epidemiological studies, competing risks data arise when the subject can experience ...
In this article, a competing risk model is analyzed in the presence of complete and censored data wh...
In the competing risks model, a unit is exposed to several risks at the same time, but it is assumed...
The work in this thesis is concerned with the development of techniques for the assessment of statis...
The cumulative incidence is the probability of failure from the cause of interest over a certain tim...
Clinical trials and cohort studies that collect survival data frequently involve patients who may fa...
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...
In this paper we consider a competing risks model including covariates in which the observations are...
International audienceIn this paper, we consider the problem of hazard rate estimation in presence o...
Interval-censored competing risks data arise when each study subject may experience an event or fail...
Semi- and non-parametric competing risks analysis of right censored data and failure caus
Abstract: Competing risks data arise when study subjects may experience several different types of f...
AbstractIn competing risks model, several failure times arise potentially. The smallest failure time...
In medical studies or in reliability analysis an investigator is often interested in the assessment ...
In clinical and epidemiological studies, competing risks data arise when the subject can experience ...
In this article, a competing risk model is analyzed in the presence of complete and censored data wh...
In the competing risks model, a unit is exposed to several risks at the same time, but it is assumed...
The work in this thesis is concerned with the development of techniques for the assessment of statis...
The cumulative incidence is the probability of failure from the cause of interest over a certain tim...
Clinical trials and cohort studies that collect survival data frequently involve patients who may fa...
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