AbstractThe theory of optional stopping is extended from stopping sets to general adapted random sets called ‘clouds’ and ‘anti-clouds’, and a stopping theorem is proven for set-indexed martingales. An application to set-indexed survival analysis is given when the data points are indexed by sets and censored very generally by clouds. This type of censoring corresponds to filtering of survival data on R+. A Nelson–Aalen estimator is defined, and shown to be consistent and asymptotically unbiased
AbstractIn this paper, some nonparametric approaches of density function estimation are developed wh...
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
In the context of right-censored and interval-censored data we develop asymptotic formulas to comput...
This thesis focuses on the problem of survival analysis of data subject to generalized censoring by ...
A class of unbiased estimators of survival probability P (Ti> t) under random and independent cen...
Although many theoretical developments have appeared in the last fifty years, interval censoring is ...
The relative efficiency of a censored experiment compared with the corresponding noncensored experim...
In this paper, we estimate the distribution function and the expectation of an increasing process. T...
This thesis deals with the problem of estimating the joint probability distribution of a marked proc...
This paper discusses the application of randomization tests to censored survival distributions. The ...
This paper discusses the application of randomization tests to censored survival distributions. The ...
In survival studies with right censored failure times, it is common that censoring is correlated wit...
In this paper, based on random left truncated and right censored data, the authors derive strong rep...
In survival studies with right censored failure times, it is common that censoring is correlated wit...
This work concerns some problems in the area of survival analysis that arise in real clinical or epi...
AbstractIn this paper, some nonparametric approaches of density function estimation are developed wh...
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
In the context of right-censored and interval-censored data we develop asymptotic formulas to comput...
This thesis focuses on the problem of survival analysis of data subject to generalized censoring by ...
A class of unbiased estimators of survival probability P (Ti> t) under random and independent cen...
Although many theoretical developments have appeared in the last fifty years, interval censoring is ...
The relative efficiency of a censored experiment compared with the corresponding noncensored experim...
In this paper, we estimate the distribution function and the expectation of an increasing process. T...
This thesis deals with the problem of estimating the joint probability distribution of a marked proc...
This paper discusses the application of randomization tests to censored survival distributions. The ...
This paper discusses the application of randomization tests to censored survival distributions. The ...
In survival studies with right censored failure times, it is common that censoring is correlated wit...
In this paper, based on random left truncated and right censored data, the authors derive strong rep...
In survival studies with right censored failure times, it is common that censoring is correlated wit...
This work concerns some problems in the area of survival analysis that arise in real clinical or epi...
AbstractIn this paper, some nonparametric approaches of density function estimation are developed wh...
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
In the context of right-censored and interval-censored data we develop asymptotic formulas to comput...