The hazard function plays a central role in survival analysis. In a homogeneous population,
the distribution of the time to event, described by the hazard, is the same for each individual …

Frailty is an increasingly recognized syndrome resulting in age-related decline in function
and reserve across multiple physiologic systems. It presents as a hyperinflammable state …

Copula models have become increasingly popular for modelling the dependence structure
in multivariate survival data. The two-parameter Archimedean family of Power Variance …

Recurrent events could be stopped by a terminal event, which commonly occurs in
biomedical and clinical studies. Taking the Cardiovascular Health Study as a motivating …

Random effect models for time-to-event data, also known as frailty models, provide a
conceptually appealing way of quantifying association between survival times and of …

A frailty modelling framework is presented for representing and making inference on
individual heterogeneities that are relevant to the transmission of infectious diseases …

Frailty models are used in survival analysis to model unobserved heterogeneity. They
accommodate such heterogeneity by the inclusion of a random term, the frailty, which is …

In this paper, we propose new methods for investigating the extent of heterogeneity in
effective contact rates relevant to the transmission of infections. These methods exploit the …

In statistical models for the analysis of time-to-event data, individual heterogeneity is usually
accounted for by means of one or more random effects, also known as frailties. In the vast …

A new class of survival frailty models based on the generalized inverse-Gaussian (GIG)
distributions is proposed. We show that the GIG frailty models are flexible and …