Truncated multivariate survival models are proposed for the analysis of data from the South Australian Methadone Program. Injecting drug users may have several entries to and exists from the program. A marginal approach for recurrent events is found to provide a useful and simplified basis for modeling the retention of injecting drug users on methadone. The likelihoods and results of fitting tw...

Consider a study where the times of occurrences of a recurrent event for n units are monitored. For the ith unit, T(i1), T(i2), …, denote the successive event interoccurrence times and this unit is monitored over a random period [0, τ(i)] with τ(i) independent of the T(ij)s. Over this monitoring period, [Formula: see text] is the random number of event occurrences. The T(ij)s are independent an...

A class of tests for the hypothesis that the baseline intensity belongs to a parametric class of intensities is given in the recurrent event setting. Asymptotic properties of a weighted general class of processes that compare the non-parametric versus parametric estimators for the cumulative intensity are presented. These results are given for a sequence of Pitman alternatives. Test statistics ...

This article deals with studies that monitor occurrences of a recurrent event for n subjects or experimental units. It is assumed that the i(th) unit is monitored over a random period [0,tau(i)]. The successive inter-event times T(i1), T(i2), ..., are assumed independent of tau(i). The random number of event occurrences over the monitoring period is K(i) = max{k in {0, 1, 2, ...} : T(i1) + T(i2...

Although recurrent event data analysis is a rapidly evolving area of research, rigorous studies on estimation of the effects of intermittently observed time-varying covariates on the risk of recurrent events have been lacking. Existing methods for analyzing recurrent event data usually require that the covariate processes are observed throughout the entire follow-up period. However, covariates ...

Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opin...

In this paper we present a novel architecture for the task of meeting event recognition in meetings that was inspired by the neural field theory. These group actions provide a basis that enables effective browsing and querying in a meeting archive. For our research we used the public available meeting corpus that is described in [3]. This corpus consists in special scripted meetings that were r...

Recurrent event data is a special type of multivariate survival data. Dynamic and frailty models are one of the approaches that dealt with this kind of data. A comparison between these two models is studied using the empirical standard deviation of the standardized martingale residual processes as a way of assessing the fit of the two models based on the Aalen additive regression model. Here we...

Introduction: SAPHO syndrome is defined as the association of a group of rare sterile osteoarticular disorders and inflammatory skin diseases whose etiology, although not yet determined, probably involves genetic, immunological and infectious mechanisms. The recurrent multifocal osteomyelitis, an inflammatory disease, can be associated with this syndrome even as a single event.  Case Report:...