Background The real impact of the degree of association (DoA) between endpoint
components of a composite endpoint (CE) on sample size requirement (SSR) has not been …

The Cox proportional hazards model is one of the most popular statistical tools to model time
to event outcomes without the need for specifying the hazards or survival time distributions …

Hospital readmission is a key marker of quality of health care. Notwithstanding its
widespread use, however, it remains controversial in part because statistical methods used …

A composite end point is often used as the primary end point to assess the efficacy of a new
treatment in randomized clinical trials. In cardiovascular trials, the often rare event of the …

Background: Composite endpoints (CEP), such as progression-free survival, are commonly
used in cancer research. Notwithstanding their popularity, however, CEP analyses suffer …

For randomized clinical trials where a single, primary, binary endpoint would require
unfeasibly large sample sizes, composite endpoints (CEs) are widely chosen as the primary …

The choice of a primary endpoint is an important issue when designing a clinical trial. It is
common to use composite endpoints as a primary endpoint because it increases the number …

Composite endpoints combine several events of interest within a single variable. These are
often time‐to‐first‐event data, which are analyzed via survival analysis techniques. To …

We consider a two-group randomized clinical trial, where mortality affects the assessment of
a follow-up continuous outcome. Using the worst-rank composite endpoint, we develop a …

Background Transplantation represents the optimal treatment for many patients with end-
stage kidney disease. When a donor kidney is available to a waitlisted patient, clinicians …