The mixture cure model is widely used to analyze survival data in the presence of a cured
subgroup. Standard logistic regression‐based approaches to model the incidence may lead …

We consider interval censored data with a cured subgroup that arises from longitudinal
followup studies with a heterogeneous population where a certain proportion of subjects is …

We propose an improved estimation method for the Box‐Cox transformation (BCT) cure rate
model parameters. Specifically, we propose a generic maximum likelihood estimation …

A semiparametric promotion time cure model with support vector machine Page 1 The Annals
of Applied Statistics 2023, Vol. 17, No. 3, 2680–2699 https://doi.org/10.1214/23-AOAS1741 © …

A new estimation method is proposed founded upon a nonlinear conjugate gradient‐type
algorithm having an efficient line search technique for cure rate models with competing risks …

In this paper, we propose a stochastic approximation to the well-studied expectation–
maximization (EM) algorithm for finding the maximum likelihood (ML)-type estimates in …

In this article, a competitive risk survival model is considered in which the initial number of
risks, assumed to follow a negative binomial distribution, is subject to a destructive …

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 …

In this paper, we consider a competitive risk scenario in which the initial number of
competing risks, assumed to follow a shifted Poisson distribution, is subject to a destructive …