The purpose of this paper is to develop a Bayesian analysis for the right-censored survival data when immune or cured individuals may be present in the population from which the data is taken. In our approach the number of competing causes of the event of interest follows the Conway-Maxwell-Poisson distribution which generalizes the Poisson distribution. Markov chain Monte Carlo (MCMC) methods are used to develop a Bayesian procedure for the proposed model. Also, some discussions on the model selection and an illustration with a real data set are considered.CNPq, Brazil [473333/2008-2, 305705/2009-1]CNPq (Brazil
In statistics, the proportional hazards model (PHM) is one of a class of survival models. This model...
The authors propose a novel class of cure rate models for right-censored failure time data. The clas...
Nonparametric or semiparametric Bayesian models are becoming increasingly popular in the context of ...
The purpose of this paper is to develop a Bayesian analysis for the right-censored survival data whe...
In this paper we deal with a Bayesian analysis for right-censored survival data suitable for populat...
The main goal of this paper is to investigate a cure rate model that comprehends some well-known pro...
We propose a Bayesian semiparametric model for survival data with a cure fraction. We explicitly con...
We propose a Bayesian semiparametric model for survival data with a cure fraction. We explicitly con...
AbstractWe develop Bayesian methods for right censored multivariate failure time data for population...
We propose a class of Bayesian cure rate models by incorporating a baseline density function as well...
In this article, we propose a new Bayesian flexible cure rate survival model, which generalises the ...
This article introduces a new Bayesian approach to the analysis of right-censored survival data. The...
This paper deals with the analysis of multivariate survival data from a Bayesian perspective using M...
In this paper, we develop a flexible cure rate survival model by assuming the number of competing ca...
In this paper, a survival model with long-term survivors and random effects, based on the promotion ...
In statistics, the proportional hazards model (PHM) is one of a class of survival models. This model...
The authors propose a novel class of cure rate models for right-censored failure time data. The clas...
Nonparametric or semiparametric Bayesian models are becoming increasingly popular in the context of ...
The purpose of this paper is to develop a Bayesian analysis for the right-censored survival data whe...
In this paper we deal with a Bayesian analysis for right-censored survival data suitable for populat...
The main goal of this paper is to investigate a cure rate model that comprehends some well-known pro...
We propose a Bayesian semiparametric model for survival data with a cure fraction. We explicitly con...
We propose a Bayesian semiparametric model for survival data with a cure fraction. We explicitly con...
AbstractWe develop Bayesian methods for right censored multivariate failure time data for population...
We propose a class of Bayesian cure rate models by incorporating a baseline density function as well...
In this article, we propose a new Bayesian flexible cure rate survival model, which generalises the ...
This article introduces a new Bayesian approach to the analysis of right-censored survival data. The...
This paper deals with the analysis of multivariate survival data from a Bayesian perspective using M...
In this paper, we develop a flexible cure rate survival model by assuming the number of competing ca...
In this paper, a survival model with long-term survivors and random effects, based on the promotion ...
In statistics, the proportional hazards model (PHM) is one of a class of survival models. This model...
The authors propose a novel class of cure rate models for right-censored failure time data. The clas...
Nonparametric or semiparametric Bayesian models are becoming increasingly popular in the context of ...