1 citations · 1 across the 6 of their papers we have counts for
6 papers
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…
Bartholomew's trend test -- approximated by a multiple contrast test
Ludwig A. Hothorn
Bartholomew's trend test belongs to the broad class of isotonic regression models, specifically with a single qualitative factor, e.g. dose levels. Using the approximation of the A…
Tests for strict monotonic trend in bio-medical dose-response relationships (respective concentration-response or exposure-response relationships) -- a biostatistical perspective
Ludwig A. Hothorn
Evidence of a global trend in dose-response dependencies is commonly used in bio-medicine and epidemiology, especially because this represents a causality criterion. However, conve…
Consistent ANOVA-type tests for various effect sizes
Ludwig A. Hothorn
Analysis of variance (ANOVA) reveals some disadvantages, such as non-robustness against heteroscedastic or non-normal errors and using difference to overall mean as effect sizes on…
The Dunnett procedure with possibly heterogeneous variances
Ludwig A. Hothorn, Mario Hasler
Most comparisons of treatments or doses against a control are performed by the original Dunnett single step procedure \cite{Dunnett1955} providing both adjusted p-values and simult…
The Kruskal Wallis test can not be recommended
Ludwig A. Hothorn
Although the Kruskal-Wallis (KW) test is widely used, it should not be recommended: it is not robust to arbitrary alternatives, it is only a global test without confidence interval…