summary:The Accelerated Failure Time model presents a way to easily describe survival regression data. It is assumed that each observed unit ages internally faster or slower, depending on the covariate values. To use the model properly, we want to check if observed data fit the model assumptions. In present work we introduce a goodness-of-fit testing procedure based on modern martingale theory. On simulated data we study empirical properties of the test for various situations
Semiparametric transformation models provide a very general framework for studying the effects of (p...
This article develops a method for testing the goodness-of-fit of a given parametric autoregressive ...
Traditional residuals for diagnosing accelerated failure time models in survival analysis, such as C...
summary:The Accelerated Failure Time model presents a way to easily describe survival regression dat...
International audienceGoodness-of-fit testing is addressed in the stratified proportional hazards mo...
PhD (Statistics), North-West University, Potchefstroom CampusThe statistical analysis of lifetime da...
This paper introduces a novel approach to making inference about the regression parameters in the ac...
summary:Logrank-type and Kolmogorov-type goodness-of-fit tests for the absence of memory model are p...
The semiparametric accelerated failure time (AFT) model is a popular linear model in survival analys...
The definition of an appropriate measure for goodness-of-fit in case of survival data comparable to ...
Standard use of Cox's regression model and other relative risk regression models for censored surviv...
Regression models in survival analysis and reliability Doctoral thesis Petr Novák Charles University...
The accelerated failure time model is widely used for analyzing censored survival times often observ...
A test is proposed for comparing two groups for difference in survivor distributions. This test allo...
To check the validity of a parametric model for survival data, a number of supremum-type tests have ...
Semiparametric transformation models provide a very general framework for studying the effects of (p...
This article develops a method for testing the goodness-of-fit of a given parametric autoregressive ...
Traditional residuals for diagnosing accelerated failure time models in survival analysis, such as C...
summary:The Accelerated Failure Time model presents a way to easily describe survival regression dat...
International audienceGoodness-of-fit testing is addressed in the stratified proportional hazards mo...
PhD (Statistics), North-West University, Potchefstroom CampusThe statistical analysis of lifetime da...
This paper introduces a novel approach to making inference about the regression parameters in the ac...
summary:Logrank-type and Kolmogorov-type goodness-of-fit tests for the absence of memory model are p...
The semiparametric accelerated failure time (AFT) model is a popular linear model in survival analys...
The definition of an appropriate measure for goodness-of-fit in case of survival data comparable to ...
Standard use of Cox's regression model and other relative risk regression models for censored surviv...
Regression models in survival analysis and reliability Doctoral thesis Petr Novák Charles University...
The accelerated failure time model is widely used for analyzing censored survival times often observ...
A test is proposed for comparing two groups for difference in survivor distributions. This test allo...
To check the validity of a parametric model for survival data, a number of supremum-type tests have ...
Semiparametric transformation models provide a very general framework for studying the effects of (p...
This article develops a method for testing the goodness-of-fit of a given parametric autoregressive ...
Traditional residuals for diagnosing accelerated failure time models in survival analysis, such as C...