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20172026
most citedRMST-based multiple contrast tests in general factorial designs

14 citations · 35 across the 27 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

stat.ME2020★ 2 cited

A kernel test for quasi-independence

Tamara Fernández, Wenkai Xu, Marc Ditzhaus +1

We consider settings in which the data of interest correspond to pairs of ordered times, e.g, the birth times of the first and second child, the times at which a new user creates a…

stat.ME2020★ 9 cited

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…

stat.ME2020★ 2 cited

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…

stat.ME2020

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…

stat.ME2020

Testing marginal homogeneity in Hilbert spaces with applications to stock market returns

Marc Ditzhaus, Daniel Gaigall

The paper considers a paired data framework and discuss the question of marginal homogeneity of bivariate high dimensional or functional data. The related testing problem can be en…