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…
Permutation Tests Based on the Copula-Graphic Estimator and Their Use for Survival Tree Construction
Pauline Baur, Markus Pauly, Takeshi Emura
Survival trees are popular alternatives to Cox or Aalen regression models that offer both modelling flexibility and graphical interpretability. This paper introduces a new algorith…
Multivariate and Multiple Contrast Testing in General Covariate-adjusted Factorial Designs
Marléne Baumeister, Konstantin Emil Thiel, Lynn Matits +3
Evaluating intervention effects on multiple outcomes is a central research goal in a wide range of quantitative sciences. It is thereby common to compare interventions among each o…
Quadratic Form based Multiple Contrast Tests for Comparison of Group Means
Paavo Sattler, Markus Pauly, Merle Munko
Comparing the mean vectors across different groups is a cornerstone in the realm of multivariate statistics, with quadratic forms commonly serving as test statistics. However, when…
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…