activity
20182025
most citedThe Behrens-Fisher Problem with Covariates and Baseline Adjustments

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

stat.ME2025

A New Approach to the Nonparametric Behrens-Fisher Problem with Compatible Confidence Intervals

Stephen Schüürhuis, Frank Konietschke, Edgar Brunner

We propose a new test to address the nonparametric Behrens-Fisher problem involving different distribution functions in the two samples. Our procedure tests the null hypothesis $\m…

stat.ME2024

An unbiased rank-based estimator of the Mann-Whitney variance including the case of ties

Edgar Brunner, Frank Konietschke

Many estimators of the variance of the well-known unbiased and uniform most powerful estimator $\htheta$ of the Mann-Whitney effect, $θ= P(X < Y) + \nfrac12 P(X=Y)$, are considered…

stat.AP2021

Statistical Review of Animal trials -- A Guideline

Sophie K. Piper, Dario Zocholl, Ulf Toelch +5

Examinations of any experiment involving living organisms require justifications of the need and moral defensibleness of the study. Statistical planning, design and sample size cal…

stat.ME2021

Incompletely observed nonparametric factorial designs with repeated measurements: A wild bootstrap approach

Lubna Amro, Frank Konietschke, Markus Pauly

In many life science experiments or medical studies, subjects are repeatedly observed and measurements are collected in factorial designs with multivariate data. The analysis of su…

stat.ME2018★ 1 cited

The Behrens-Fisher Problem with Covariates and Baseline Adjustments

Cong Cao, Markus Pauly, Frank Konietschke

The Welch-Satterthwaite t-test is one of the most prominent and often used statistical inference method in applications. The method is, however, not flexible with respect to adjust…

math.ST2018

Multiplication-Combination Tests for Incomplete Paired Data

Lubna Amro, Frank Konietschke, Markus Pauly

We consider statistical procedures for hypothesis testing of real valued functionals of matched pairs with missing values. In order to improve the accuracy of existing methods, we…