With rapid improvements in medical treatment and health care, many datasets dealing with
time to relapse or death now reveal a substantial portion of patients who are cured (ie, who …

Due to significant progress in cancer treatments and management in survival studies
involving time to relapse (or death), we often need survival models with cured fraction to …

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 …

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 …

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 …

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 …

The mixture cure model is widely used to analyze survival data in the presence of a cured
subgroup. Standard logistic regression‐based approaches to model the incidence may lead …

Complex issues arise when investigating the association between longitudinal immunologic
measures and time to an event, such as time to relapse, in cancer vaccine trials. Unlike …

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 …

Recently, a flexible cure rate survival model has been developed by assuming the number
of competing causes of the event of interest to follow the Conway–Maxwell–Poisson …