9 citations · 13 across the 8 of their papers we have counts for
7 papers · 1 filter
Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs
Marléne Baumeister, Marc Ditzhaus, Markus Pauly
Multivariate analysis-of-variance (MANOVA) is a well established tool to examine multivariate endpoints. While classical approaches depend on restrictive assumptions like normality…
QANOVA: Quantile-based Permutation Methods For General Factorial Designs
Marc Ditzhaus, Roland Fried, Markus Pauly
Population means and standard deviations are the most common estimands to quantify effects in factorial layouts. In fact, most statistical procedures in such designs are built towa…
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…
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…
More powerful logrank permutation tests for two-sample survival data
Marc Ditzhaus, Sarah Friedrich
Weighted logrank tests are a popular tool for analyzing right censored survival data from two independent samples. Each of these tests is optimal against a certain hazard alternati…
Signal detection via Phi-divergences for general mixtures
Marc Ditzhaus
In this paper we are interested in testing whether there are any signals hidden in high dimensional noise data. Therefore we study the family of goodness-of-fit tests based on -…