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 …

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 …

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 …

In this paper, the inverse gamma power series (IGPS) class of distributions asymmetric is
introduced. This family is obtained by compounding inverse gamma and power series …

Cure rate models have been widely studied to analyze time-to-event data with a cured
fraction of patients. In this type of model, the number of concurrent causes is assumed to be …

Models for dealing with survival data in the presence of a cured fraction of individuals have
attracted the attention of many researchers and practitioners in recent years. In this paper …

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 …

A cure rate model under the competing risks setup is proposed. For the number of
competing causes related to the occurrence of the event of interest, we posit the one …

This paper introduces the inverse-power Muth power series model, which is a composition
of the inverse-power Muth and the class of power series distributions. The use of the Bell …

We introduce a new modelling for long‐term survival models, assuming that the number of
competing causes follows a mixture of Poisson and the Birnbaum‐Saunders distribution. In …