6 papers
Inference for competing risks based on area between curves statistics
Simon Mack, Marc Ditzhaus, Merle Munko +1
In competing risks models, cumulative incidence functions are commonly compared to infer differences between groups. Many existing inference methods, however, struggle when these f…
Effect measures for comparing paired event times
Merle Munko, Simon Mack, Marc Ditzhaus +3
The progression-free survival ratio (PFSr) is a widely used measure in personalized oncology trials. It evaluates the effectiveness of treatment by comparing two consecutive event…
A Central Limit Theorem for the permutation importance measure
Nico Föge, Lena Schmid, Marc Ditzhaus +1
Random Forests have become a widely used tool in machine learning since their introduction in 2001, known for their strong performance in classification and regression tasks. One k…
Early and Late Buzzards: Comparing Different Approaches for Quantile-based Multiple Testing in Heavy-Tailed Wildlife Research Data
Marléne Baumeister, Merle Munko, Kai-Philipp Gladow +3
In medical, ecological and psychological research, there is a need for methods to handle multiple testing, for example to consider group comparisons with more than two groups. Typi…
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…
Even naive trees are consistent
Nico Föge, Markus Pauly, Lena Schmid +1
The last decade has shed some light on theoretical properties such as their consistency for regression tasks. In the current paper, we propose a new class of very simple learners b…