The existence of items not susceptible to the event of interest is of both theoretical and
practical importance. Although researchers may provide, for example, biological, medical, or …

In this article, we discuss an extension of the classical negative binomial cure rate model
with piecewise exponential distribution of the time to event for concurrent causes, which …

Motivated by the recent popularization of the beta prime distribution, a more flexible
generalization is presented to fit symmetrical or asymmetrical and bimodal data, and a non …

Estimating model parameters of a general family of cure models is always a challenging task
mainly due to flatness and multimodality of the likelihood function. In this work, we propose a …

The cure models based on standard distributions like exponential, Weibull, lognormal,
Gompertz, gamma, are often used to analyze survival data from cancer clinical trials with …

This paper proposes, for the first time, the use of an asymmetric positive and heavy-tailed
distribution in a cure rate model context. In particular, it introduces a cure-rate survival model …

Over the last decades, the challenges in survival models have been changing considerably
and full probabilistic modeling is crucial in many medical applications. Motivated from a new …

We study a quite simple parametric regression model that may be very useful to model
positive response variables in practice. The frequentist approach is considered to perform …

Survival data analysis often uses the Cox proportional hazards (PH) model. This model is
widely applied due to its straightforward interpretation of the hazard ratio under the …