In this paper we extend the long-term survival model proposed by Chen et al.[Chen, M.-H.,
Ibrahim, JG, Sinha, D., 1999. A new Bayesian model for survival data with a surviving …

The cure model, or sometimes called “the cure rate model,” refers to a class of models for
censored survival data from subjects when some of them will not develop the event of …

Survival data analysis is a very broad field of statistics, encompassing a large variety of
methods used in a wide range of applications, and in particular in medical research. During …

When analyzing time-to-event data, it often happens that a certain fraction of the data
corresponds to subjects who will never experience the event of interest. These event times …

In survival or reliability studies, the mean residual life or life expectancy is an important
characteristic of the model. Here, we study the limiting behaviour of the mean residual life …

We propose a new class of survival models which naturally links a family of proper and
improper population survival functions. The models resulting in improper survival functions …

In this paper we deal with a Bayesian analysis for right-censored survival data suitable for
populations with a cure rate. We consider a cure rate model based on the negative binomial …

The main goal of this paper is to investigate a cure rate model that comprehends some well‐
known proposals found in the literature. In our work the number of competing causes of the …

Cure models are a special type of survival analysis model where it is assumed that there are
a proportion of subjects who will never experience the event and thus the survival curve will …

We consider Bayesian methods for right-censored survival data for populations with a
surviving (cure) fraction. We propose a model that is quite different from the standard mixture …