30 citations · 59 across the 10 of their papers we have counts for
11 papers
Single CASANOVA? Not in multiple comparisons
Ina Dormuth, Carolin Herrmann, Frank Konietschke +3
When comparing multiple groups in clinical trials, we are not only interested in whether there is a difference between any groups but rather the location. Such research questions l…
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…
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…
Using meta-analytic priors to incorporate external information for study evaluation
Thilo Welz, Eric Knop, Frank Konietschke +3
Background: The COVID-19 pandemic has had a profound impact on health, everyday life and economics around the world. An important complication that can arise in connection with a C…
Simultaneous inference for partial areas under receiver operating curves -- with a view towards efficiency
Maximilian Wechsung, Frank Konietschke
We propose new simultaneous inference methods for diagnostic trials with elaborate factorial designs. Instead of the commonly used total area under the receiver operating character…
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…