Background Many clinical trials focus on the comparison of the treatment effect between two
or more groups concerning a rarely occurring event. In this situation, showing a relevant …

Individuals may experience repeated events over time. However, there is no consensus
about learning approaches to use in a high-dimensional framework for survival data (when …

As more manufacturers shift their focus from selling products to end solutions, full-service
maintenance contracts gain traction in the business world. These contracts cover all …

Background In clinical trials the study interest often lies in the comparison of a treatment to a
control regarding a time to event endpoint. A composite endpoint allows to consider several …

Background Falls are highly common in patients with Alzheimer's disease (AD); around two-
thirds of AD patients fall annually. Fall events are major drivers of injury, early …

Background Composite endpoints combining several event types of clinical interest often
define the primary efficacy outcome in cardiologic trials. They are commonly evaluated as …

Prediction of event such as failure event or critical warning event plays an important role in
reliability engineering. In this paper, we present a semiparametric method to predict event …

Multivariate survival data are frequently encountered in biomedical applications in the form
of clustered failures (or recurrent events data). A popular way of analyzing such data is by …

Background and objective: Joint frailty regression models are intended for the analysis of
recurrent event times in the presence of informative drop-outs. They have been proposed for …

We describe a data-driven approach to optimize periodic maintenance policies for a
heterogeneous portfolio with different machine profiles. When insufficient data are available …