Abstract: Statistical model check techniques with interval censored data are highly needed for application. In this talk, a goodness-of-t test based on the leveraged bootstrap is presented to check the adequacy of the proportional hazards model for current status data. It is shown to be a consistent test. Numerical study reveals its validity. References [1] Finkelstein, D.M. (1986). A Proportional Hazards Model for Interval-Censored Failure Time Data, Biometrics
We develop diagnostic tools for use with proportional hazards models for interval-censored survival ...
We consider a variety of tests for testing goodness-of-fit in a parametric Cox proportional hazards ...
[[abstract]]Current status data arise when the failure time of interest is unable to observe. The ob...
Cramir-von Mises type goodness of fit tests for interval censored data case 2 are proposed based on ...
Cramér-von Mises type goodness of fit tests for interval censored data case 2 are proposed based on ...
The proportional hazards model is the most widely accepted and utilized model for survival analysis,...
The paper is devoted to the problems ol constructing proportional hazard Cox model and testiirg good...
In the interval censoring case 1, an event occurrence time is unobservable, but one observes an insp...
This work develops a new methodology in order to discriminate models for interval-censored data base...
In tumorigenicity experiments, a complication is that the time to event is generally not observed, s...
The Cox proportional hazards model is a popular statistical tool for analyzing censored failure time...
Abstract: A counting process approach to multiple event times modeled by an Andersen-Gill-type exten...
International audienceGoodness-of-fit testing is addressed in the stratified proportional hazards mo...
We introduce a new concept of nonparametric test for statistically deciding if a model fits a sample...
[[abstract]]Regression diagnostics that assess the adequacy of a regression model for observed data ...
We develop diagnostic tools for use with proportional hazards models for interval-censored survival ...
We consider a variety of tests for testing goodness-of-fit in a parametric Cox proportional hazards ...
[[abstract]]Current status data arise when the failure time of interest is unable to observe. The ob...
Cramir-von Mises type goodness of fit tests for interval censored data case 2 are proposed based on ...
Cramér-von Mises type goodness of fit tests for interval censored data case 2 are proposed based on ...
The proportional hazards model is the most widely accepted and utilized model for survival analysis,...
The paper is devoted to the problems ol constructing proportional hazard Cox model and testiirg good...
In the interval censoring case 1, an event occurrence time is unobservable, but one observes an insp...
This work develops a new methodology in order to discriminate models for interval-censored data base...
In tumorigenicity experiments, a complication is that the time to event is generally not observed, s...
The Cox proportional hazards model is a popular statistical tool for analyzing censored failure time...
Abstract: A counting process approach to multiple event times modeled by an Andersen-Gill-type exten...
International audienceGoodness-of-fit testing is addressed in the stratified proportional hazards mo...
We introduce a new concept of nonparametric test for statistically deciding if a model fits a sample...
[[abstract]]Regression diagnostics that assess the adequacy of a regression model for observed data ...
We develop diagnostic tools for use with proportional hazards models for interval-censored survival ...
We consider a variety of tests for testing goodness-of-fit in a parametric Cox proportional hazards ...
[[abstract]]Current status data arise when the failure time of interest is unable to observe. The ob...