In this paper, we propose a new cure rate survival model, which extends the model of
Rodrigues et al.(2011) by incorporating a structure of dependence between the initiated …

Survival data with a sizable cure fraction are commonly encountered in cancer research.
The semiparametric proportional hazards cure model has been recently used to analyze …

In this paper, a survival model with long-term survivors and random effects, based on the
promotion time cure rate model formulation for models with a surviving fraction is …

The modeling and analysis of lifetime data in which the main endpoints are the times when
an event of interest occurs is of great interest in medical studies. In these studies, it is …

In this paper, we consider two well-known parametric long-term survival models, namely, the
Bernoulli cure rate model and the promotion time (or Poisson) cure rate model. Assuming …

We consider inference for data from a clinical trial of treatments for metastatic prostate
cancer. Patients joined the trial with diverse prior treatment histories. The resulting …

We propose a Bayesian semiparametric accelerated failure time (AFT) model in which the
baseline survival distribution is modeled as a Dirichlet process mixture of gamma densities …

We present a mixture cure model with the survival time of the “uncured” group coming from a
class of linear transformation models, which is an extension of the proportional odds model …

In this article we propose a new cure rate survival model. In our approach the number of
competing causes of the event of interest is assumed to follow an exponential discrete …

In some survival analysis of medical studies, there are often long-term survivors who can be
considered as permanently cured. The goals in these studies are to estimate the noncured …