Let denote the m.l.e. of the survival function SX(t) based on the right censored data (Z1,[delta]1),...,(Zn,[delta]n) and the proportional hazards model of random censorship. The asymptotic distribution of certain linear combinations of the supremum of the standardized process is shown to be an extreme value distribution. This limiting distribution is used to construct asymptotically exact confidence bands for the survival function SX over the entire range of the observations. These bands are found to be narrower at both ends of the survival function when compared to the bands obtained by Hollander and Peña. If the proportion of uncensored data, [alpha]n, is greater than , the bands narrow to zero width at both ends of the survival function...
Survival data analysis refers to some statistical methods to analyze time-toevent data. The analysis...
This paper introduces and studies the large sample properties of an estimator for the mean survival ...
In this paper we extend the conditional Koziol-Green model of Veraverbeke, N. and Cadarso Suárez, C....
In survival analysis we deal with times to occurrence of an event. If a variable of interest X with ...
For right censored data, empirical likelihood method is used to construct the confidence band for th...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
In the paper, the empirical process in informative model of random censorship from both sides is inv...
We suggest a completely empirical approach to the construction of confidence bands for hazard functi...
Several types of asymptotic confidence bands have been proposed in the literature when the data are ...
In this paper we considered the problem of estimating the bivariate survival distribution of the ran...
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...
AbstractMotivated by regression analysis of censored survival data, we develop herein a general asym...
Abstract: In this paper, we derive the generalized maximum likelihood estimator (GMLE) and Nelson- A...
Abstract. In this paper, the well-known proportional hazards model which includes several well-known...
Survival data analysis refers to some statistical methods to analyze time-toevent data. The analysis...
This paper introduces and studies the large sample properties of an estimator for the mean survival ...
In this paper we extend the conditional Koziol-Green model of Veraverbeke, N. and Cadarso Suárez, C....
In survival analysis we deal with times to occurrence of an event. If a variable of interest X with ...
For right censored data, empirical likelihood method is used to construct the confidence band for th...
We consider a type of heavy random censoring where the number of uncensored observations still tends...
In the paper, the empirical process in informative model of random censorship from both sides is inv...
We suggest a completely empirical approach to the construction of confidence bands for hazard functi...
Several types of asymptotic confidence bands have been proposed in the literature when the data are ...
In this paper we considered the problem of estimating the bivariate survival distribution of the ran...
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...
AbstractMotivated by regression analysis of censored survival data, we develop herein a general asym...
Abstract: In this paper, we derive the generalized maximum likelihood estimator (GMLE) and Nelson- A...
Abstract. In this paper, the well-known proportional hazards model which includes several well-known...
Survival data analysis refers to some statistical methods to analyze time-toevent data. The analysis...
This paper introduces and studies the large sample properties of an estimator for the mean survival ...
In this paper we extend the conditional Koziol-Green model of Veraverbeke, N. and Cadarso Suárez, C....