Add to ORKGSeveral aspects of the analysis of two successive survival times are considered. All the analyses take into account the dependent censoring on the second time induced by the first. Three nonparametric methods are described, implemented and applied to the data coming from a multicentre clinical trial for HIV-infected patients. Visser's and Wang and Wells methods propose an estimator for the bivariate survival function while G'omez and Serrat's method presents a conditional approach for the second time given the first. The three approaches are compared and discussed at the end of the paper
This paper proposes a class of nonparametric estimators for the bivariate survival function estimati...
This work introduces nonparametric models which are used in time to event data analysis. It is focus...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
Several aspects of the analysis of two successive survival times are considered. All the analyses ta...
Document de recerca publicat per la UPC. Departament d'Estadística i Investigació operativaThis pape...
Randomly left or right truncated observations occur when one is concerned with estimation of the dis...
In many medical studies, patients can experience several events. The times between consecutive event...
Most existing survival analysis methods work under the assumption that censoring times are independe...
This thesis presents a new model and method of analysis for survival time data which can be right an...
In longitudinal studies of disease, patients may experience several events through a follow-up perio...
In many biomedical studies, the outcome measure is the time to an event, such as the death of an ind...
A doubly censoring scheme occurs when the lifetimes T being measured, from a well-known time origin,...
The main goal of this dissertation is to construct nonparametric or semiparametric methods for analy...
A large number of proposals for estimating the bivariate survival function under random censoring ha...
Censored data methods play an integral role in the analysis of survival data. Although there exist m...
This paper proposes a class of nonparametric estimators for the bivariate survival function estimati...
This work introduces nonparametric models which are used in time to event data analysis. It is focus...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
Several aspects of the analysis of two successive survival times are considered. All the analyses ta...
Document de recerca publicat per la UPC. Departament d'Estadística i Investigació operativaThis pape...
Randomly left or right truncated observations occur when one is concerned with estimation of the dis...
In many medical studies, patients can experience several events. The times between consecutive event...
Most existing survival analysis methods work under the assumption that censoring times are independe...
This thesis presents a new model and method of analysis for survival time data which can be right an...
In longitudinal studies of disease, patients may experience several events through a follow-up perio...
In many biomedical studies, the outcome measure is the time to an event, such as the death of an ind...
A doubly censoring scheme occurs when the lifetimes T being measured, from a well-known time origin,...
The main goal of this dissertation is to construct nonparametric or semiparametric methods for analy...
A large number of proposals for estimating the bivariate survival function under random censoring ha...
Censored data methods play an integral role in the analysis of survival data. Although there exist m...
This paper proposes a class of nonparametric estimators for the bivariate survival function estimati...
This work introduces nonparametric models which are used in time to event data analysis. It is focus...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...