In many longitudinal studies information is collected on the times of different kinds of events. Some of these studies involve repeated events, where a subject or sample unit may experience a well-defined event several times along his history. Such events are called recurrent events. In this work we consider the estimation of the marginal and joint distribution functions of two gap times under univariate random right censoring. We also consider the estimation of the bivariate survival function.This research was financed by Portuguese Funds through FCT - “Funda¸c˜ao para a Ciˆencia e a Tecnologia”, within Project UID/MAT/00013/2013.info:eu-repo/semantics/publishedVersio
In several clinical and epidemiology studies, data from events that occur successively in time in th...
Consider two random variables subject to random right censoring, for example, the survival times of ...
In many medical studies, patients can experience several events. The times between consecutive event...
In many longitudinal studies, information is collected on the times of different kinds of events. So...
First published online: 12 Dec 2014In many medical studies, patients may experience several events d...
In many medical studies, patients can experience several events. The times between consecutive event...
Dissertação de mestrado em EstatísticaEm diversos estudos longitudinais, os indivíduos ou itens em o...
In this paper we develop a locally efficient one-step estimator of a multivariate survival function ...
We consider a study which monitors the occurrences of a recurrent event for n subjects or units. Rec...
In many medical studies individuals can experience several events across a follow-up study. In thes...
This thesis Entitled “modelling and analysis of recurrent event data with multiple causes.Survival d...
Let (T1,T2) be gap times corresponding to two consecutive events,which are observed subject to (univ...
The problem of non-parametric estimation for the distribution function governing the time to occurre...
This paper considers statistical models in which two different types of events, such as the diagnosi...
Let (T1, T2) be gap times corresponding to two consecutive events, which are observed subject to ra...
In several clinical and epidemiology studies, data from events that occur successively in time in th...
Consider two random variables subject to random right censoring, for example, the survival times of ...
In many medical studies, patients can experience several events. The times between consecutive event...
In many longitudinal studies, information is collected on the times of different kinds of events. So...
First published online: 12 Dec 2014In many medical studies, patients may experience several events d...
In many medical studies, patients can experience several events. The times between consecutive event...
Dissertação de mestrado em EstatísticaEm diversos estudos longitudinais, os indivíduos ou itens em o...
In this paper we develop a locally efficient one-step estimator of a multivariate survival function ...
We consider a study which monitors the occurrences of a recurrent event for n subjects or units. Rec...
In many medical studies individuals can experience several events across a follow-up study. In thes...
This thesis Entitled “modelling and analysis of recurrent event data with multiple causes.Survival d...
Let (T1,T2) be gap times corresponding to two consecutive events,which are observed subject to (univ...
The problem of non-parametric estimation for the distribution function governing the time to occurre...
This paper considers statistical models in which two different types of events, such as the diagnosi...
Let (T1, T2) be gap times corresponding to two consecutive events, which are observed subject to ra...
In several clinical and epidemiology studies, data from events that occur successively in time in th...
Consider two random variables subject to random right censoring, for example, the survival times of ...
In many medical studies, patients can experience several events. The times between consecutive event...