Composite endpoints are often used as primary efficacy endpoints, particularly in the field of oncology and cardiology. These endpoints combine several time-to-event variables of interest within a single time-to-first-event variable. Thereby, it is intended to enlarge the expected effect size...

Model selection and model averaging are two important techniques to obtain practical and useful models in applied research. However, it is now well-known that many complex issues arise, especially in the context of model selection, when the stochastic nature of the selection process is ignored...

Panel data unit root tests which allow for a common structural break in the individual effects or linear trends of the AR(1) panel data model are suggested. These allow the date of the break to be unknown. The tests assume that the time-dimension of the panel (T) is fixed (finite) while the...