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 | 23 | 2021 |
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 | 17 | 2020 |
Wild bootstrap logrank tests with broader power functions for testing superiority M Ditzhaus, M Pauly Computational Statistics & Data Analysis 136, 1-11, 2019 | 9 | 2019 |
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 | 8 | 2022 |
A resampling‐based test for two crossing survival curves T Liu, M Ditzhaus, J Xu Pharmaceutical Statistics 19 (4), 399-409, 2020 | 8 | 2020 |
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 | 8 | 2018 |
QANOVA: quantile-based permutation methods for general factorial designs M Ditzhaus, R Fried, M Pauly TEST, 1-20, 2021 | 7 | 2021 |
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 | 6 | 2021 |
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 | 5 | 2021 |
Testing marginal homogeneity in Hilbert spaces with applications to stock market returns M Ditzhaus, D Gaigall TEST 31 (3), 749-770, 2022 | 4 | 2022 |
Signal detection via Phi-divergences for general mixtures M Ditzhaus | 4 | 2019 |
Permutation test for the multivariate coefficient of variation in factorial designs M Ditzhaus, Ł Smaga Journal of Multivariate Analysis 187, 104848, 2022 | 3 | 2022 |
A kernel test for quasi-independence T Fernández, W Xu, M Ditzhaus, A Gretton Advances in Neural Information Processing Systems 33, 15326-15337, 2020 | 3 | 2020 |
Variability and stability of the false discovery proportion M Ditzhaus, A Janssen | 3 | 2019 |
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 | 1 | 2023 |
A Multiple kernel testing procedure for non-proportional hazards in factorial designs M Ditzhaus, T Fernández, N Rivera arXiv preprint arXiv:2206.07239, 2022 | 1 | 2022 |
Bootstrap and permutation rank tests for proportional hazards under right censoring M Ditzhaus, A Janssen Lifetime data analysis 26, 493-517, 2020 | 1 | 2020 |