Add to ORKGFor the setting of interval censoring case 2, a nonparametric two-sample test, based on a smooth functional of the nonparametric maximum pseudolikelihood estimator, is developed to compare the failure functions of two populations. Monte Carlo simulation studies on Weibull distributions show that this test performs quite well in many situations in comparison with the parametric likelihood ratio test. A real dataset from an HIV study is used to illustrate the new test. ©2001 Biometrika Trust
A new family of non-parametric two-sample tests for discrete interval censored data is proposed. Thi...
In clinical trials and cohort studies the event of interest is often not observable, and is known on...
International audienceTo compare two or more survival distributions with interval-censored data, var...
For the setting of interval censoring case 2, a nonparametric two-sample test, based on a smooth fun...
Survival analysis is used in many fields for analysis of data, particularly in medical and biologi...
In clinical trials and engineering studies that are followed by periodic follow-ups, it is predomina...
For the setting of interval censored data in which the event time is not exactly observed but known ...
In clinical trials and engineering studies that are followed by periodic follow-ups, it is predomina...
The statistical problem considered in this article is the parametric treatment comparison when partl...
By interval-censored failure time data, we mean that the failure time of interest is observed to bel...
This article discusses the parametric estimation in the existence of partly interval-censored failur...
Abstract: The problem of two-sample survival comparisons has been investigated by several authors. P...
This paper discusses the nonparametric analysis of interval and partly interval censored data, which...
AbstractBerk and Jones (Z. Wahrsch. Verw. Gebiete 47 (1979) 47) described a nonparametric likelihood...
In this article, we study algorithms for computing the nonparametric maximum likelihood estimator (N...
A new family of non-parametric two-sample tests for discrete interval censored data is proposed. Thi...
In clinical trials and cohort studies the event of interest is often not observable, and is known on...
International audienceTo compare two or more survival distributions with interval-censored data, var...
For the setting of interval censoring case 2, a nonparametric two-sample test, based on a smooth fun...
Survival analysis is used in many fields for analysis of data, particularly in medical and biologi...
In clinical trials and engineering studies that are followed by periodic follow-ups, it is predomina...
For the setting of interval censored data in which the event time is not exactly observed but known ...
In clinical trials and engineering studies that are followed by periodic follow-ups, it is predomina...
The statistical problem considered in this article is the parametric treatment comparison when partl...
By interval-censored failure time data, we mean that the failure time of interest is observed to bel...
This article discusses the parametric estimation in the existence of partly interval-censored failur...
Abstract: The problem of two-sample survival comparisons has been investigated by several authors. P...
This paper discusses the nonparametric analysis of interval and partly interval censored data, which...
AbstractBerk and Jones (Z. Wahrsch. Verw. Gebiete 47 (1979) 47) described a nonparametric likelihood...
In this article, we study algorithms for computing the nonparametric maximum likelihood estimator (N...
A new family of non-parametric two-sample tests for discrete interval censored data is proposed. Thi...
In clinical trials and cohort studies the event of interest is often not observable, and is known on...
International audienceTo compare two or more survival distributions with interval-censored data, var...