The authors propose a novel class of cure rate models for right‐censored failure time data.
The class is formulated through a transformation on the unknown population survival …

This article considers the utility of the bounded cumulative hazard model in cure rate
estimation, which is an appealing alternative to the widely used two-component mixture …

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 …

We develop a new joint cure rate model for longitudinal and survival data. The model allows
for multiple longitudinal markers as well as a cure structure for the survival component …

Cure rate models have been widely studied to analyze time‐to‐event data with a cured
fraction of patients. Our proposal consists of incorporating frailty into a cure rate model, as an …

We propose a new cure model for survival data with a surviving or cure fraction. The new
model is a mixture cure model where the covariate effects on the proportion of cure and the …

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 …

In this paper, we propose a new class of semi-parametric cure rate models. Specifically, we
construct dynamic models for piecewise hazard functions over a finite partition of the time …

In the recent work of Rodrigues et al.(2009), a flexible cure rate survival model was
developed by assuming the number of competing causes of the event of interest to follow the …