Generalizing distributions is an old practice and has ever been considered as precious as
many other practical problems in statistics. It simply started with defining different …

Survival data analysis is a very broad field of statistics, encompassing a large variety of
methods used in a wide range of applications, and in particular in medical research. During …

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, a long‐term survival model under competing risks is considered. The
unobserved number of competing risks is assumed to follow a negative binomial distribution …

Destructive negative binomial cure rate model and EM-based likelihood inference under
Weibull lifetime - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & …

In this paper, we introduce a flexible family of cure rate models, mainly motivated by the
biological derivation of the classical promotion time cure rate model and assuming that a …

In this paper, we propose a generalization of the power series cure rate model for the
number of competing causes related to the occurrence of the event of interest. The model …

The family of power series cure rate models provides a flexible modeling framework for
survival data of populations with a cure fraction. In this work, we present a simplified …

Background: Rapid progression in medical and health sciences have caused survival
studies, where some patients have long-term survival, especially for chronic diseases such …

The use of cure-rate survival models has grown in recent years. Even so, proposals to
perform the goodness of fit of these models have not been so frequent. However, residual …