34 citations · 88 across the 16 of their papers we have counts for
12 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…
Testing Hypotheses about Covariance Matrices in General MANOVA Designs
Paavo Sattler, Arne C. Bathke, Markus Pauly
We introduce a unified approach to testing a variety of rather general null hypotheses that can be formulated in terms of covariances matrices. These include as special cases, for…
Consistent Estimation of Residual Variance with Random Forest Out-Of-Bag Errors
Burim Ramosaj, Markus Pauly
The issue of estimating residual variance in regression models has experienced relatively little attention in the machine learning community. However, the estimate is of primary in…
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…
Wild Bootstrap based Confidence Bands for Multiplicative Hazards Models
Dennis Dobler, Markus Pauly, Thomas H. Scheike
We propose new resampling-based approaches to construct asymptotically valid time simultaneous confidence bands for cumulative hazard functions in multi-state Cox models. In partic…