Add to ORKGA Gamma Hierarchical Model is used for the Bayesian Analysis of Survival Data with covariates. We center our interest on the comparison of two groups of individuals using Monte-Carlo methods. Concretely, we use the Gibbs sampling to obtain a sample from the posterior distribution. The paper ends with the analysis of two data sets, one of them simulated and the other real
We introduce a semi-parametric Bayesian model for survival analysis. The model is centred on a param...
Competing risks data are routinely encountered in various medical applications due to the fact that ...
This paper deals with the analysis of multivariate survival data from a Bayesian perspective using M...
A Gamma Hierarchical Model is used for the Bayesian Analysis of Survival Data with covariates. We ce...
Motivated from a colorectal cancer study, we propose a class of frailty semi-competing risks surviva...
In this paper, we propose a general class of Gamma frailty transformation models for multivariate su...
Comparison of two survival curves is a fundamental problem in survival analysis. Although abundant f...
Cox\u27s (1972) Proportional Hazards (PH) model is one of the most popular models for fitting surviv...
The proportional hazard model is the most general of the regression models since it is not based on ...
Hierarchical models based on conditional independence are investigated as a means of modelling multi...
Frequently in the analysis of survival data, survival times within the same group are correlated due...
Analyses involving both longitudinal and time-to-event data are quite common in medical research. Th...
Proportional hazards model (PHM) is commonly used in survival analysis for estimating the effects of...
In this paper we propose a general class of gamma frailty transformation models for multivariate sur...
this paper we extend this Bayesian MARS model to cope with survival data in a similar way that the H...
We introduce a semi-parametric Bayesian model for survival analysis. The model is centred on a param...
Competing risks data are routinely encountered in various medical applications due to the fact that ...
This paper deals with the analysis of multivariate survival data from a Bayesian perspective using M...
A Gamma Hierarchical Model is used for the Bayesian Analysis of Survival Data with covariates. We ce...
Motivated from a colorectal cancer study, we propose a class of frailty semi-competing risks surviva...
In this paper, we propose a general class of Gamma frailty transformation models for multivariate su...
Comparison of two survival curves is a fundamental problem in survival analysis. Although abundant f...
Cox\u27s (1972) Proportional Hazards (PH) model is one of the most popular models for fitting surviv...
The proportional hazard model is the most general of the regression models since it is not based on ...
Hierarchical models based on conditional independence are investigated as a means of modelling multi...
Frequently in the analysis of survival data, survival times within the same group are correlated due...
Analyses involving both longitudinal and time-to-event data are quite common in medical research. Th...
Proportional hazards model (PHM) is commonly used in survival analysis for estimating the effects of...
In this paper we propose a general class of gamma frailty transformation models for multivariate sur...
this paper we extend this Bayesian MARS model to cope with survival data in a similar way that the H...
We introduce a semi-parametric Bayesian model for survival analysis. The model is centred on a param...
Competing risks data are routinely encountered in various medical applications due to the fact that ...
This paper deals with the analysis of multivariate survival data from a Bayesian perspective using M...