The semiparametric Cox regression model is often fitted in the modeling of survival data.
One of its main advantages is the ease of interpretation, as long as the hazards rates for two …

Frailty models are generally used to model heterogeneity between the individuals. The
distribution of the frailty variable is often assumed to be continuous. However, there are …

In this paper, we propose a flexible cure rate model including a frailty term, which was
obtained by incorporating a random effect in the risk function of latent competing causes …

Survival analysis is a set of methods for statistical inference concerning the time until the
occurrence of an event. One of the main objectives of survival analysis is to evaluate the …

Cure rate models have been widely studied to analyze time‐to‐event data with a cured
fraction of patients. Our proposal consists of incorporating frailty into a cure rate model, as an …

In this paper, we propose a novel Gaussian quadrature estimation method in various frailty
proportional hazards models. We approximate the unspecified baseline hazard by a …

In many biomedical studies, subjects may experience the outcome of interest more than
once over a period of observation; outcomes of this sort have been termed recurrent events …

Survival models with a frailty term are presented as an extension of Cox's proportional
hazard model, in which a random effect is introduced in the hazard function in a …

Individuals may experience more than one type of recurrent event and a terminal event
during the life course of a disease. Follow‐up may be interrupted for several reasons …

Multi-type recurrent event data arise in many situations when two or more different event
types may occur repeatedly over an observation period. For example, in a randomized …