We propose methods for Bayesian inference for missing covariate data with a novel class of
semi-parametric survival models with a cure fraction. We allow the missing covariates to be …

Survival data with a sizable cure fraction are commonly encountered in some cancer clinical
researches and the semiparametric proportional hazards cure model has been recently …

In this article, we consider the destructive length-biased Poisson cure rate model, proposed
by Rodrigues et al., that presents a realistic and interesting interpretation of the biological …

In this article, we introduce a long‐term survival model in which the number of competing
causes of the event of interest follows the zero‐modified geometric (ZMG) distribution. Such …

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 …

The semiparametric accelerated hazards mixture cure model provides a useful alternative to
analyze survival data with a cure fraction if covariates of interest have a gradual effect on the …

We propose a Bayesian semiparametric model for survival data with a cure fraction. We
explicitly consider a finite cure time in the model, which allows us to separate the cured and …

Recently, a new cure rate survival model has been proposed by considering the Conway–
Maxwell Poisson distribution as the distribution of the competing cause variable. This model …

Semiparametric proportional hazards cure models have been proposed recently for survival
data from some clinical trials where cure is a possibility. However, it is known that the …

Parametric and semiparametric cure models have been proposed for cure proportion
estimation in cancer clinical research. In this paper, several parametric and semiparametric …