Frailty models are becoming increasingly popular in multivariate survival analysis. Shared frailty models in particular are often used despite their limitations. To overcome their disadvantages numerous correlated frailty models were established during the last decade. In the present study, we examine bivariate correlated frailty models, and especially the behavior of the parameter estimates when using different estimation strategies. We consider three different bivariate frailty models: the gamma model and two versions of the log-normal model. The traditional maximum likelihood procedure of parameter estimation in the gamma case with an explicit available likelihood function is compared with maximum likelihood methods based on numerical in...
One of the most popular models for survival analysis is the Cox proportional hazard model. In this m...
Frailty models are useful for measuring unobserved heterogeneity in risk of failures across clusters...
In some biomedical cohort studies, recurrent or repeated events can be terminated by a dependent ter...
Frailty models are becoming increasingly popular in multivariate survival analysis. Shared frailty m...
Multivariate survival data arise when each study subject may experience multiple events or when the ...
This paper reviews some of the main approaches to the analysis of multivariate censored survival dat...
ABSTRACT Frailty models are used in survival analysis to model unobserved heterogeneity. To study su...
David Ruppert Robert Strawderman Philip ProtterThe dependence between subjects in clustered surviv...
A key assumption of the popular Cox model is that the observations in the study are statistically in...
In survival analysis frailty is often used to model heterogeneity between individuals or correlation...
Frailty models are the survival data analog to regression models, which account for heterogeneity an...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
Synopsis. In this paper we discuss the notion of individual frailty and its interpretation. In addit...
2000 Mathematics Subject Classifi cation: 62J12.This study considers a robust properties of correlat...
Frailty models are often used to study the individual heterogeneity in multivariate survival analysi...
One of the most popular models for survival analysis is the Cox proportional hazard model. In this m...
Frailty models are useful for measuring unobserved heterogeneity in risk of failures across clusters...
In some biomedical cohort studies, recurrent or repeated events can be terminated by a dependent ter...
Frailty models are becoming increasingly popular in multivariate survival analysis. Shared frailty m...
Multivariate survival data arise when each study subject may experience multiple events or when the ...
This paper reviews some of the main approaches to the analysis of multivariate censored survival dat...
ABSTRACT Frailty models are used in survival analysis to model unobserved heterogeneity. To study su...
David Ruppert Robert Strawderman Philip ProtterThe dependence between subjects in clustered surviv...
A key assumption of the popular Cox model is that the observations in the study are statistically in...
In survival analysis frailty is often used to model heterogeneity between individuals or correlation...
Frailty models are the survival data analog to regression models, which account for heterogeneity an...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
Synopsis. In this paper we discuss the notion of individual frailty and its interpretation. In addit...
2000 Mathematics Subject Classifi cation: 62J12.This study considers a robust properties of correlat...
Frailty models are often used to study the individual heterogeneity in multivariate survival analysi...
One of the most popular models for survival analysis is the Cox proportional hazard model. In this m...
Frailty models are useful for measuring unobserved heterogeneity in risk of failures across clusters...
In some biomedical cohort studies, recurrent or repeated events can be terminated by a dependent ter...