activity
20152022
most citedOptimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test

80 citations · 91 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2022

The nonparametric Behrens-Fisher problem in small samples

Claus P. Nowak, Markus Pauly, Edgar Brunner

While there appears to be a general consensus in the literature on the definition of the estimand and estimator associated with the Wilcoxon-Mann-Whitney test, it seems somewhat le…

stat.ME2020★ 1 cited

Success-Odds: An improved Win-Ratio

Edgar Brunner

Multiple and combined endpoints involving also non-normal outcomes appear in many clinical trials in various areas in medicine. In some cases, the outcome can be observed only on a…

stat.ME2018★ 80 cited

Optimal Sample Size Planning for the Wilcoxon-Mann-Whitney-Test

Martin Happ, Arne C. Bathke, Edgar Brunner

There are many different proposed procedures for sample size planning for the Wilcoxon-Mann-Whitney test at given type-I and type-II error rates and , respectively. Most met…

math.ST2018★ 8 cited

Ranks and Pseudo-Ranks - Paradoxical Results of Rank Tests -

Edgar Brunner, Frank Konietschke, Arne C. Bathke +1

Rank-based inference methods are applied in various disciplines, typically when procedures relying on standard normal theory are not justifiable, for example when data are not symm…

stat.ME2016

Rank-Based Procedures in Factorial Designs: Hypotheses about Nonparametric Treatment Effects

Edgar Brunner, Frank Konietschke, Markus Pauly +1

Existing tests for factorial designs in the nonparametric case are based on hypotheses formulated in terms of distribution functions. Typical null hypotheses, however, are formulat…

stat.ME2015★ 2 cited

Permuting longitudinal data despite all the dependencies

Sarah Friedrich, Edgar Brunner, Markus Pauly

For general repeated measures designs the Wald-type statistic (WTS) is an asymptotically valid procedure allowing for unequal covariance matrices and possibly non-normal multivaria…