In clinical and observational studies, the event of interest can often recur on the same subject. In a more complicated situation, there exists a terminal event (e.g., death) which stops the recurrent event process. In many such instances, the terminal event is strongly correlated with the recurrent event process. We consider the recurrent/terminal event setting and model the dependence through...

In clinical and observational studies, recurrent event data (e.g., hospitalization) with a terminal event (e.g., death) are often encountered. In many instances, the terminal event is strongly correlated with the recurrent event process. In this article, we propose a semiparametric method to jointly model the recurrent and terminal event processes. The dependence is modeled by a shared gamma fr...

Recurrent event processes with marker measurements are mostly and largely studied with forward time models starting from an initial event. Interestingly, the processes could exhibit important terminal behavior during a time period before occurrence of the failure event. A natural and direct way to study recurrent events prior to a failure event is to align the processes using the failure event ...

In this article, we consider the setting where the event of interest can occur repeatedly for the same subject (i.e., a recurrent event; e.g., hospitalization) and may be stopped permanently by a terminating event (e.g., death). Among the different ways to model recurrent/terminal event data, the marginal mean (i.e., averaging over the survival distribution) is of primary interest from a public...

OBJECTIVE To investigate risk of a recurrent cardiovascular event and its predictors in a population-based cohort. RESEARCH DESIGN AND METHODS Participants of the Hoorn Study who had experienced a first cardiovascular event after baseline (n = 336) were followed with respect to a recurrent event. Absolute risk of a recurrent event was calculated for individuals with normal glucose metabolism,...

Introduction: Patients with primary acute aortic dissection are at higher risk of complications, including increasing aortic aneurysm diameter, aortic rupture, aortic pseudo aneurysm, and recurrent aortic dissection. Case presentation We presented the case of a recurrent pseudo aneurysm and rupture of the aorta in the distal a...

Recurrent event data are commonly encountered in longitudinal follow-up studies related to biomedical science, econometrics, reliability, and demography. In many studies, recurrent events serve as important measurements for evaluating disease progression, health deterioration, or insurance risk. When analyzing recurrent event data, an independent censoring condition is typically required for th...