This paper extends the idea behind the U‐statistic of the Wilcoxon–Mann–Whitney test to
perform generalized pairwise comparisons between two groups of observations. The …

Clinical trials are often designed to compare continuous non‐normal outcomes. The
conventional statistical method for such a comparison is a non‐parametric Mann–Whitney …

Generalized pairwise comparisons have been proposed to permit a comprehensive
assessment of several prioritized outcomes between two groups of observations. This …

Composite outcomes are common in clinical trials, especially for multiple time-to-event
outcomes (endpoints). The standard approach that uses the time to the first outcome event …

To handle composite endpoints, the win ratio has been applied to data analysis and design
of clinical trials. Its interpretation, however, is not always clear, and it could handle ties …

Consider a clinical trial to compare two treatments where response is dichotomous and
patients enter the trial sequentially. This paper investigates the conduct of such a trial where …

For the analysis of efficacy data we test null-hypotheses. The t-test (Chaps. 6 and 7) is
appropriate for two parallel-groups or two paired samples. Analysis of variance …

We study simultaneous rank procedures for unbalanced designs with independent
observations. The hypotheses are formulated in terms of purely nonparametric treatment …

Paired data occur in crossover trials and matched case-control studies, and it is rare to find
studies reporting sample size calculations associated with these types of studies, despite …

Many authors have proposed different approaches to combine multiple endpoints in a
univariate outcome measure in the literature. In case of binary or time‐to‐event variables …