6 papers · 1 filter
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…
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…
Multiple tests for restricted mean time lost with competing risks data
Merle Munko, Dennis Dobler, Marc Ditzhaus
Easy-to-interpret effect estimands are highly desirable in survival analysis. In the competing risks framework, one good candidate is the restricted mean time lost (RMTL). It is de…
Multiple Comparison Procedures for Simultaneous Inference in Functional MANOVA
Merle Munko, Marc Ditzhaus, Markus Pauly +1
Functional data analysis is becoming increasingly popular to study data from real-valued random functions. Nevertheless, there is a lack of multiple testing procedures for such dat…