9 citations · 9 across the 3 of their papers we have counts for
6 papers
Inferring median survival differences in general factorial designs via permutation tests
Marc Ditzhaus, Dennis Dobler, Markus Pauly
Factorial survival designs with right-censored observations are commonly inferred by Cox regression and explained by means of hazard ratios. However, in case of non-proportional ha…
Permutation inference in factorial survival designs with the CASANOVA
Marc Ditzhaus, Arnold Janssen, Markus Pauly
We propose inference procedures for general nonparametric factorial survival designs with possibly right-censored data. Similar to additive Aalen models, null hypotheses are formul…
Permutation test for the multivariate coefficient of variation in factorial designs
Marc Ditzhaus, Łukas Smaga
New inference methods for the multivariate coefficient of variation and its reciprocal, the standardized mean, are presented. While there are various testing procedures for both pa…
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…
On the consistency of adaptive multiple tests
Marc Ditzhaus, Arnold Janssen
Much effort has been done to control the "false discovery rate" (FDR) when hypotheses are tested simultaneously. The FDR is the expectation of the "false discovery proportion"…