Publications (30)
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…
Studentized Permutation Method for Comparing Restricted Mean Survival Times with Small Sample from Randomized Trials
Marc Ditzhaus, Menggang Yu, Jin Xu
Recent observations, especially in cancer immunotherapy clinical trials with time-to-event outcomes, show that the commonly used proportial hazard assumption is often not justifiab…
General multiple tests for functional data
Merle Munko, Marc Ditzhaus, Markus Pauly +2
While there exists several inferential methods for analyzing functional data in factorial designs, there is a lack of statistical tests that are valid (i) in general designs, (ii)…
Wild bootstrap logrank tests with broader power functions for testing superiority
Marc Ditzhaus, Markus Pauly
We introduce novel wild bootstrap procedures for testing superiority in unpaired two-sample survival data. By combining different classical weighted logrank test we obtain tests wi…
Dependence correction of multiple tests with applications to sparsity
Marc Ditzhaus, Arnold Janssen
The present paper establishes new multiple procedures for simultaneous testing of a large number of hypotheses under dependence. Special attention is devoted to experiments with ra…
RMST-based multiple contrast tests in general factorial designs
Merle Munko, Marc Ditzhaus, Dennis Dobler +1
Several methods in survival analysis are based on the proportional hazards assumption. However, this assumption is very restrictive and often not justifiable in practice. Therefore…