Add to ORKGA class of unbiased estimators of survival probability P (Ti> t) under random and independent censorship model is considered, where the potential survival times Ti are possibly unobserved, but the censoring times Zi and min (Ti, Zi) are known and the sam-ple size is random. The proposed estimators are closely related to the Reduced-Sample Estimator defined by Kaplan and Meier (1958). key words: Survival analysis, censored data, non-parametric estimation, Reduced-Sample Estimator; I
The classical random censorship model assumes that we follow an individual continuously up to the ti...
SUMMARY. Two methods to estimate the mean survival time from censored samples are discussed. One is ...
This paper proposes a class of nonparametric estimators for the bivariate survival function estimati...
In the past decade applications of the statistical methods for survival data analysis have been exte...
This paper introduces and studies the large sample properties of an estimator for the mean survival ...
This thesis presents a new model and method of analysis for survival time data which can be right an...
One of the primary problems facing statisticians who work with survival data is the loss of in-forma...
This thesis presents a new model and method of analysis for survival time data which can be right an...
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
In survival analysis, it is very common to have censored data in which the occurrence times of the e...
In this note we propose an estimator of the survival function at a given time point using a Bayesian...
The paper deals with two classes of unbiased non-parametric estimators of survival and cumulative h...
AbstractThis paper deals with estimation of life expectancy used in survival analysis and competing ...
AbstractIn this paper we consider a model for dependent censoring and derive a consistent asymptotic...
The relative efficiency of a censored experiment compared with the corresponding noncensored experim...
The classical random censorship model assumes that we follow an individual continuously up to the ti...
SUMMARY. Two methods to estimate the mean survival time from censored samples are discussed. One is ...
This paper proposes a class of nonparametric estimators for the bivariate survival function estimati...
In the past decade applications of the statistical methods for survival data analysis have been exte...
This paper introduces and studies the large sample properties of an estimator for the mean survival ...
This thesis presents a new model and method of analysis for survival time data which can be right an...
One of the primary problems facing statisticians who work with survival data is the loss of in-forma...
This thesis presents a new model and method of analysis for survival time data which can be right an...
We study an estimator of the survival function under the random censoring model. Bahadur-type repres...
In survival analysis, it is very common to have censored data in which the occurrence times of the e...
In this note we propose an estimator of the survival function at a given time point using a Bayesian...
The paper deals with two classes of unbiased non-parametric estimators of survival and cumulative h...
AbstractThis paper deals with estimation of life expectancy used in survival analysis and competing ...
AbstractIn this paper we consider a model for dependent censoring and derive a consistent asymptotic...
The relative efficiency of a censored experiment compared with the corresponding noncensored experim...
The classical random censorship model assumes that we follow an individual continuously up to the ti...
SUMMARY. Two methods to estimate the mean survival time from censored samples are discussed. One is ...
This paper proposes a class of nonparametric estimators for the bivariate survival function estimati...