Add to ORKGThe paper is devoted to the problems ol constructing proportional hazard Cox model and testiirg goodness-of-ht. The semiparametric and various parametric proportional hazard models have been considered The goodness-ol-ht test statistic distributions by samples of residuals have been investigated by the Monte-Carlo method. The problem of testing goodness-of-fit by randomly censored samples has been discussed. The Kolmogorov-Smirnov, Craincr-von Mises-Smirnov and Anderson-Darling goodness-of-fit tests have1 been considered
summary:Survival analysis is applied in a wide range of sectors (medicine, economy, etc.), and its m...
Additive regression models are preferred over multiplicative models in analy-sis of relative surviva...
Versions of the Kolmogorov-Smirnov, Kuiper and Cramer-von Mises statistics are intro-duced for the p...
The paper is devoted to the problems ol constructing proportional hazard Cox model and testiirg good...
We consider a variety of tests for testing goodness-of-fit in a parametric Cox proportional hazards ...
To check the validity of a parametric model for survival data, a number of supremum-type tests have ...
AbstractBerk and Jones (Z. Wahrsch. Verw. Gebiete 47 (1979) 47) described a nonparametric likelihood...
The Cox proportional hazards model is a popular statistical tool for analyzing censored failure time...
International audienceGoodness-of-fit testing is addressed in the stratified proportional hazards mo...
The authors propose a goodness-of-fit test for parametric regression models when the response variab...
PhD (Statistics), North-West University, Potchefstroom CampusThe statistical analysis of lifetime da...
The main goal of this work it is to present a review of the existing methods to deal with the goodne...
One of the most frequently used regression models for survival data was proposed by Sir David Cox in...
Abstract. An omnibus test of fit for Cox's proportional hazards regression model is proposed fo...
In survival analysis, proportional hazards model is the most commonly used and the Cox model is the ...
summary:Survival analysis is applied in a wide range of sectors (medicine, economy, etc.), and its m...
Additive regression models are preferred over multiplicative models in analy-sis of relative surviva...
Versions of the Kolmogorov-Smirnov, Kuiper and Cramer-von Mises statistics are intro-duced for the p...
The paper is devoted to the problems ol constructing proportional hazard Cox model and testiirg good...
We consider a variety of tests for testing goodness-of-fit in a parametric Cox proportional hazards ...
To check the validity of a parametric model for survival data, a number of supremum-type tests have ...
AbstractBerk and Jones (Z. Wahrsch. Verw. Gebiete 47 (1979) 47) described a nonparametric likelihood...
The Cox proportional hazards model is a popular statistical tool for analyzing censored failure time...
International audienceGoodness-of-fit testing is addressed in the stratified proportional hazards mo...
The authors propose a goodness-of-fit test for parametric regression models when the response variab...
PhD (Statistics), North-West University, Potchefstroom CampusThe statistical analysis of lifetime da...
The main goal of this work it is to present a review of the existing methods to deal with the goodne...
One of the most frequently used regression models for survival data was proposed by Sir David Cox in...
Abstract. An omnibus test of fit for Cox's proportional hazards regression model is proposed fo...
In survival analysis, proportional hazards model is the most commonly used and the Cox model is the ...
summary:Survival analysis is applied in a wide range of sectors (medicine, economy, etc.), and its m...
Additive regression models are preferred over multiplicative models in analy-sis of relative surviva...
Versions of the Kolmogorov-Smirnov, Kuiper and Cramer-von Mises statistics are intro-duced for the p...