3 papers
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.ME2024
Unlocking Insights: Enhanced Analysis of Covariance in General Factorial Designs through Multiple Contrast Tests under Variance Heteroscedasticity
Matthias Becher, Ludwig A. Hothorn, Frank Konietschke
A common goal in clinical trials is to conduct tests on estimated treatment effects adjusted for covariates such as age or sex. Analysis of Covariance (ANCOVA) is often used in the…
math.ST2024
A studentized permutation test in group sequential designs
Long-Hao Xu, Tobias Mütze, Frank Konietschke +1
In group sequential designs, where several data looks are conducted for early stopping, we generally assume the vector of test statistics from the sequential analyses follows (at l…