Statistik: mehr als Erbsen zählen

Sie sind hier:

Dr. Marc Ditzhaus

Mathematische Statistik und industrielle Anwendungen


Raum 222
0231 755 - 6809
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
  • Methods for factorial designs
  • Resampling techniques (especially Permutation methods) for small sample sizes
  • High-dimensional and functional data


  • mdir.logrank: available on CRAN. This packages contains the flexible combination approach of weighted log-rank-test for the two-sided (Ditzhaus and Friedrich, 2020) and the one-sided problem (Ditzhaus and Pauly, 2019)
  • GFDsurv: avaibable on CRAN. This packages contains three different tests for survival data in general factorial designs (Ditzhaus, Dobler and Pauly, 2021; Ditzhaus, Janssen and Pauly, 2020; Dobler and Pauly, SMMR, 2019).


  1. Dormuth, Liu, Xu, Pauly, Ditzhaus (2021). Testing for difference in survival in non-standard situations. In final preparation.
  2. Ditzhaus, Yu and Xu (2021). Studentized Permutation Method for Comparing Restricted Mean Survival Times with Small Sample from Randomized Trials. (arXiv:2102.10186).
  3. Ditzhaus and Gaigall (2020). Tests for detecting risk equivalent portfolios. (arXiv:2001.02488)
  4. Ditzhaus and Janssen (2019). Dependence correction of multiple tests with applications to sparsity. (arxiv:1909.13727)







Supervised Thesis

  • Random survival forests beyond the Cox model: Simulation study for new splitting rules (Bachelor thesis, 2021)
  • Quantile-based MANOVA: A new tool for inferring multivariate data in factorial designs. (Master thesis, 2021)
  • Solutions for the curse of non-proportional hazards: The potential of the net benefit in clinical trials (Bachelor thesis, 2021)
  • Analysing the Development of IQ in a South African Sample from Childhood to Emerging Adulthood using Latent Class Mixed Models (Bachelor thesis, 2020). This thesis was award by the Alumni Association as the best bachelor thesis.

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)