Add to ORKGAbstract: In this paper, we propose a flexible cure rate survival model by assuming that the number of competing causes of the event of interest follows the negative binomial distribution and the time to event follows a generalized gamma distribution. We define the negative binomial-generalized gamma distribution, which can be used to model survival data. The new model includes as special cases some of the well-known cure rate models discussed in the literature. We consider a frequentist analysis and nonparametric bootstrap for parameter estimation of a negative binomial-generalized gamma regression model with cure rate. Then, we derive the appropriate matrices for assessing local influence on the parameter estimates under different perturb...
In this paper, we propose a cure rate survival model by assuming the number of competing causes of t...
AbstractWe develop Bayesian methods for right censored multivariate failure time data for population...
Cure rate models are survival models consisting of a cured fraction and an uncured fraction. These m...
In survival analysis, the presence of elements not susceptible to the event of interest is very comm...
In this paper we deal with a Bayesian analysis for right-censored survival data suitable for populat...
In this paper, we proposed a flexible cure rate survival model by assuming the number of competing c...
In this paper, the generalized log-gamma regression model is modified to allow the possibility that ...
The main goal of this paper is to investigate a cure rate model that comprehends some well-known pro...
Survival analysis is a set of methods for statistical inference concerning the time until the occurr...
We propose a new class of survival models which naturally links a family of proper and improper popu...
We propose a Bayesian semiparametric model for survival data with a cure fraction. We explicitly con...
In survival analysis it often happens that some subjects under study do not experience the event of ...
We propose a Bayesian semiparametric model for survival data with a cure fraction. We explicitly con...
In this paper two alternative estimation procedures based on the EM algorithm are proposed forthe fl...
In a sample of censored survival times, the presence of an immune proportion of individuals who are ...
In this paper, we propose a cure rate survival model by assuming the number of competing causes of t...
AbstractWe develop Bayesian methods for right censored multivariate failure time data for population...
Cure rate models are survival models consisting of a cured fraction and an uncured fraction. These m...
In survival analysis, the presence of elements not susceptible to the event of interest is very comm...
In this paper we deal with a Bayesian analysis for right-censored survival data suitable for populat...
In this paper, we proposed a flexible cure rate survival model by assuming the number of competing c...
In this paper, the generalized log-gamma regression model is modified to allow the possibility that ...
The main goal of this paper is to investigate a cure rate model that comprehends some well-known pro...
Survival analysis is a set of methods for statistical inference concerning the time until the occurr...
We propose a new class of survival models which naturally links a family of proper and improper popu...
We propose a Bayesian semiparametric model for survival data with a cure fraction. We explicitly con...
In survival analysis it often happens that some subjects under study do not experience the event of ...
We propose a Bayesian semiparametric model for survival data with a cure fraction. We explicitly con...
In this paper two alternative estimation procedures based on the EM algorithm are proposed forthe fl...
In a sample of censored survival times, the presence of an immune proportion of individuals who are ...
In this paper, we propose a cure rate survival model by assuming the number of competing causes of t...
AbstractWe develop Bayesian methods for right censored multivariate failure time data for population...
Cure rate models are survival models consisting of a cured fraction and an uncured fraction. These m...