Shared random-effect models for the joint analysis of longitudinal and time-to-event data: application to the prediction of prostate cancer recurrence

parameters in a large training dataset using the SAEM algorithm [8, 9], ii) the distribution of the individual parameters is found using the Hamiltonian Monte Carlo (HMC) algorithm

We consider the model checking problem: given a λY -term decide if the B¨ ohm tree it generates is accepted by a given tree automaton with trivial acceptance conditions.. The

In summarizing time-to-event data, there are two main functions of interest, namely the survival function and the hazard function. The actual event time t can be regarded as the

This paper presents a novel technique for reduction of a process model based on the notion of in- dication, by which, the occurrence of an event in the model reveals the occurrence

L’établissement des semis de Pinus pinea a été étudié in situ et sous des conditions contrôlées pour trois forêts au nord de la Tunisie (Mekna III, Ouchtata II et

In particular, Japanese multinationals respond at least as elastically to exchange rate changes as MNEs headquartered in Europe and the United States. Indeed, the

We will first present the main results for one example (plot 12; figure 4), and after we will present the main spatial characteristics oak-pine mixed stands studied,

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