Populations of free-ranging dogs are still a matter of concern in developing countries. The
presence of stray dogs is associated with environmental and public health consequences …

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 …

The mixture cure model in survival analysis has received large and growing attention in the
last few decades. Restricting ourselves mainly to the one-sample case, we present here an …

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 …

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 …

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 …

The work proposes a new family of survival models called the Odd log-logistic generalized
Neyman type A long-term. We consider different activation schemes in which the number of …

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 new survival model is proposed in the presence of surviving fractions and unobserved
dispersion. It is obtained by considering several latent factors (or risks) that generated the …

Multistate models allow individuals to move through a series of states over time, making it
possible to estimate the transition probabilities and intensities between states and the effect …