Add to ORKGInternational audienceThe Kaplan-Meier nonparametric estimator has become a standard tool for estimating a survival time distribution in a right censoring schema. However, if the censoring rate is high, this estimator does not provide a reliable estimation of the extreme survival probabilities. In this paper we propose to combine the nonparametric Kaplan-Meier estimator and a parametric-based model into one construction. The idea is to t the tail of the survival function with a parametric model while for the remaining to use the Kaplan-Meier estimator. A procedure for the automatic choice of the location of the tail based on a goodness-of- t test is proposed. This technique allows us to improve the estimation of the survival probabilities i...
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
This work introduces nonparametric models which are used in time to event data analysis. It is focus...
We propose a semiparametric estimator of the survival function S (t) = P (T>t) from the censored obs...
International audienceThe Kaplan-Meier nonparametric estimator has become a standard tool for estima...
14 pagesThe Kaplan-Meier nonparametric estimator has become a standard tool for estimating a surviva...
Most follow-up studies are conducted to determine the survival rates of subjects affected by a speci...
We derive the nonparametric maximum likelihood estimator (NPMLE) of the distribution of the test ite...
International audienceIn this paper, we consider the problem of hazard rate estimation in presence o...
This work concerns some problems in the area of survival analysis that arise in real clinical or epi...
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
In the past decade applications of the statistical methods for survival data analysis have been exte...
In this note we propose an estimator of the survival function at a given time point using a Bayesian...
One of the primary problems facing statisticians who work with survival data is the loss of in-forma...
One of the primary problems facing statisticians who work with survival data is the loss of informat...
This thesis presents a new model and method of analysis for survival time data which can be right an...
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
This work introduces nonparametric models which are used in time to event data analysis. It is focus...
We propose a semiparametric estimator of the survival function S (t) = P (T>t) from the censored obs...
International audienceThe Kaplan-Meier nonparametric estimator has become a standard tool for estima...
14 pagesThe Kaplan-Meier nonparametric estimator has become a standard tool for estimating a surviva...
Most follow-up studies are conducted to determine the survival rates of subjects affected by a speci...
We derive the nonparametric maximum likelihood estimator (NPMLE) of the distribution of the test ite...
International audienceIn this paper, we consider the problem of hazard rate estimation in presence o...
This work concerns some problems in the area of survival analysis that arise in real clinical or epi...
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
In the past decade applications of the statistical methods for survival data analysis have been exte...
In this note we propose an estimator of the survival function at a given time point using a Bayesian...
One of the primary problems facing statisticians who work with survival data is the loss of in-forma...
One of the primary problems facing statisticians who work with survival data is the loss of informat...
This thesis presents a new model and method of analysis for survival time data which can be right an...
In most reliability studies involving censoring, one assumes that censoring probabilities are unknow...
This work introduces nonparametric models which are used in time to event data analysis. It is focus...
We propose a semiparametric estimator of the survival function S (t) = P (T>t) from the censored obs...