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Marc Ditzhaus
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Increased serum neurofilament light and thin ganglion cell–inner plexiform layer are additive risk factors for disease activity in early multiple sclerosis
TY Lin, V Vitkova, S Asseyer, IM Serra, S Motamedi, C Chien, M Ditzhaus, ...
Neurology-Neuroimmunology Neuroinflammation 8 (5), 2021
232021
More powerful logrank permutation tests for two-sample survival data
M Ditzhaus, S Friedrich
Journal of Statistical Computation and Simulation 90 (12), 2209-2227, 2020
172020
Wild bootstrap logrank tests with broader power functions for testing superiority
M Ditzhaus, M Pauly
Computational Statistics & Data Analysis 136, 1-11, 2019
92019
Which test for crossing survival curves? A user’s guideline
I Dormuth, T Liu, J Xu, M Yu, M Pauly, M Ditzhaus
BMC Medical Research Methodology 22 (1), 34, 2022
82022
A resampling‐based test for two crossing survival curves
T Liu, M Ditzhaus, J Xu
Pharmaceutical Statistics 19 (4), 399-409, 2020
82020
A consistent goodness-of-fit test for huge dimensional and functional data
M Ditzhaus, D Gaigall
Journal of Nonparametric Statistics 30 (4), 834-859, 2018
82018
QANOVA: quantile-based permutation methods for general factorial designs
M Ditzhaus, R Fried, M Pauly
TEST, 1-20, 2021
72021
CASANOVA: Permutation inference in factorial survival designs
M Ditzhaus, J Genuneit, A Janssen, M Pauly
Biometrics 79 (1), 203-215, 2023
6*2023
Long-term efficacy and impact on mortality of remote magnetic navigation guided catheter ablation of ventricular arrhythmias
D Guckel, S Niemann, M Ditzhaus, S Molatta, L Bergau, T Fink, V Sciacca, ...
Journal of Clinical Medicine 10 (20), 4695, 2021
62021
Inferring median survival differences in general factorial designs via permutation tests
M Ditzhaus, D Dobler, M Pauly
Statistical Methods in Medical Research 30 (3), 875-891, 2021
52021
Testing marginal homogeneity in Hilbert spaces with applications to stock market returns
M Ditzhaus, D Gaigall
TEST 31 (3), 749-770, 2022
42022
Signal detection via Phi-divergences for general mixtures
M Ditzhaus
42019
Permutation test for the multivariate coefficient of variation in factorial designs
M Ditzhaus, Ł Smaga
Journal of Multivariate Analysis 187, 104848, 2022
32022
A kernel test for quasi-independence
T Fernández, W Xu, M Ditzhaus, A Gretton
Advances in Neural Information Processing Systems 33, 15326-15337, 2020
32020
Variability and stability of the false discovery proportion
M Ditzhaus, A Janssen
32019
Detectability of nonparametric signals: higher criticism versus likelihood ratio
M Ditzhaus, A Janssen
3*2018
Studentized Permutation Method for Comparing Restricted Mean Survival Times with Small Sample from Randomized Trials.
M Ditzhaus, M Yu, J Xu
https://arxiv.org/pdf/2102.10186.pdf, 0
2*
Factorial survival analysis for treatment effects under dependent censoring
T Emura, M Ditzhaus, D Dobler, K Murotani
arXiv preprint arXiv:2302.01617, 2023
12023
A Multiple kernel testing procedure for non-proportional hazards in factorial designs
M Ditzhaus, T Fernández, N Rivera
arXiv preprint arXiv:2206.07239, 2022
12022
Bootstrap and permutation rank tests for proportional hazards under right censoring
M Ditzhaus, A Janssen
Lifetime data analysis 26, 493-517, 2020
12020
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