Supplemental material for Correlated gamma frailty models for bivariate survival time data by Adelino Martins, Marc Aerts Niel Hens, Andreas Wienke and Steven Abrams in Statistical Methods in Medical Research</p
A new class of bivariate survival distributions is constructed from a given family of survival distr...
Frailty models are frequently used to analyse clustered survival data in medical contexts. The frail...
Dependence in survival analysis is most frequently modeled by the frailty model or the copula model....
This book presents the basic concepts of survival analysis and frailty models, covering both fundame...
Frailty models are often used to study the individual heterogeneity in multivariate survival analysi...
Abstract: A maximum likelihood estimation procedure is developed for a bivariate frailty regression ...
We generalize the previously developed Non-PH CTDL-Gamma and the PH Weibull-Gamma frailty models to ...
This paper reviews some of the main approaches to the analysis of multivariate censored survival dat...
Frequently in the analysis of survival data, survival times within the same group are correlated due...
This book introduces readers to advanced statistical methods for analyzing survival data involving c...
The aim of this paper is to present an overview of the methods used in modeling survival data. Since...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
Dependent survival data arise in many contexts. One context is clustered survival data, where surviv...
Frailty models are the survival data analog to regression models, which account for heterogeneity an...
The analysis of multivariate time-to-event (TTE) data can become complicated due to the presence of ...
A new class of bivariate survival distributions is constructed from a given family of survival distr...
Frailty models are frequently used to analyse clustered survival data in medical contexts. The frail...
Dependence in survival analysis is most frequently modeled by the frailty model or the copula model....
This book presents the basic concepts of survival analysis and frailty models, covering both fundame...
Frailty models are often used to study the individual heterogeneity in multivariate survival analysi...
Abstract: A maximum likelihood estimation procedure is developed for a bivariate frailty regression ...
We generalize the previously developed Non-PH CTDL-Gamma and the PH Weibull-Gamma frailty models to ...
This paper reviews some of the main approaches to the analysis of multivariate censored survival dat...
Frequently in the analysis of survival data, survival times within the same group are correlated due...
This book introduces readers to advanced statistical methods for analyzing survival data involving c...
The aim of this paper is to present an overview of the methods used in modeling survival data. Since...
The aim of this paper is to explore multivariate survival techniques for the analysis of bivariate r...
Dependent survival data arise in many contexts. One context is clustered survival data, where surviv...
Frailty models are the survival data analog to regression models, which account for heterogeneity an...
The analysis of multivariate time-to-event (TTE) data can become complicated due to the presence of ...
A new class of bivariate survival distributions is constructed from a given family of survival distr...
Frailty models are frequently used to analyse clustered survival data in medical contexts. The frail...
Dependence in survival analysis is most frequently modeled by the frailty model or the copula model....
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