… frailties … model based on multiplicative frailties with a multivariate log-normal joint distribution.
We give a justification and an estimation procedure for this generally structured frailty model…

… Multivariate survival data allow the hazard function to be estimated with either finite or infinite
mean frailty … assumptions for multivariate survival analysis, describing various models, their …

… univariate frailty model in analysis of multivariate survival data, a bivariate frailty model is …
The approach involves incorporating into the model two possibly correlated frailties for each …

… , a frailty model is a random effect model for time-to-event data, where the random effect (the
frailty) has … Examples of the use of multivariate frailty models are various and emphasize the …

… We propose a multivariate frailty model that jointly analyzes two types of recurrent events
with a dependent terminal event. Two estimation methods are proposed: a semiparametrical …

… software packages for frailty models and the representation of … the frailty models. Finally, in
section 6, we illustrate the application of frailty models in two common situations, the modeling …

… of the marginal frailty model to multivariate current status … assumed the proportional hazards
frailty model and this may … the model or to compare the appropriateness of different models. …

… Various frailty models have been developed and are now widely used for analysing
multivariate survival data. It is therefore important to develop an information criterion for …

… This paper describes full likelihood inference for the multivariate frailty model and uses
as an example the multivariate log-normal frailty model. To maximize the likelihood, the EM-…

… For such data, the identical frailty model may be … identical frailty model by allowing the frailty
to vary stochastically over the indices. We propose a simple updating scheme for the frailties …