Statistik: mehr als Erbsen zählen

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Dr. Marc Ditzhaus

Mathematische Statistik und industrielle Anwendungen


Raum 222
0231 755 - 3137
Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund

Brief CV

  • Since 03/2019: Postdoctoral Researcher at the Department of Statistics, TU Dortmund University.
  • 04/2018-02/2019: Postdoctoral Researcher at the Institute of Statistics, University of Ulm.

  • 06/2017 - Graduation Dr. rer. nat.,  Mathematical Institute, University of Duesseldorf. Title of PhD thesis: The power of tests for signal detection in high-dimensional data.

  • 04/2014-03/2018: Research assistent at the Mathematical Institute, University of Duesseldorf.
  • 10/2012 - 03/2014: Studies of Mathematics (M.Sc.) at the University of Duesseldorf. Title of Master thesis: Tests auf proportionale Hazards für zensierte Daten (translation: Tests for proportional hazards under censored data).

  • 10/2009 - 09/2012: Studies of Mathematics and Applications (B.Sc.) at the University of Duesseldorf. Title of Bachelor thesis: Der lokale zentrale Grenzwertsatz (translation: The local central limit theorem).


Research Interests

  • Inference in Survival Analysis
  • Solutions for the problem of non-proportional hazards and crossing survival curves
  • Resampling techniques (especially Permutation methods)
  • Signal detection in high-dimensional data


  • mdir.logrank: available on CRAN


  1. Fernandez, Xu, Ditzhaus and Gretton (2020). A kernel test for quasi-independence. Preprint.
  2. Ditzhaus, Dobler, Pauly (2020). Inferring median survival differences in general factorial designs via permutation tests. (arxiv:2006.14316)
  3. Ditzhaus, Janssen, Pauly (2020). Permutation inference in factorial survival designs with the CASANOVA. (arXiv:2004.10818v2)
  4. Ditzhaus and Smaga (2020). Permutation test for the multivariate coefficient of variation in factorial designs. (arXiv:2003.13277)
  5. Ditzhaus and Gaigall (2020). Tests for detecting risk equivalent portfolios. (arXiv:2001.02488)
  6. Ditzhaus, Fried and Pauly (2019). QANOVA: Quantile-based Permutation Methods For General Factorial Designs. (arXiv:1912.09146v2)
  7. Ditzhaus and Janssen (2019). Dependence correction of multiple tests with applications to sparsity. (arxiv:1909.13727)







Grants and Awards

  • Minerva Short-Term Research Grant for Isreal (2020)
  • Joachim Hartung Prize, Young Researcher Award, International Workshop of the DR-IBS WG Nonparametric Methods (2020)
  • DAAD-Grant Vortragsreisenprogramm for New Zealand (2017)
  • HeRA-Grant (Heine Research Acadamies) for New Zealand (2017)


  • Member of the International Biometric Society (IBS-DR)