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Dr. Dominic Edelmann

 Research Topics 

  • Distance correlation and energy-based dependence methods
  • Precision-oncology clinical trials (design and analysis)
  • Survival analysis for high-dimensional molecular data
  • Statistical Genetics and Epigenetics

 

Background

Habilitation, Medical Biometry, Heidelberg University, 2025

Dr. rer. nat., Mathematics, Heidelberg University, 2015

Diplom, Mathematics, Heidelberg University, 2011

 

Supervision

I welcome inquiries from motivated students interested in Bachelor’s, Master’s or PhD theses in (bio-)statistics and related areas. Please contact me with a brief description of your interests and background.

 

Selected publications 

  • Edelmann, D. (2025). Revisiting hazard ratios: Can we define causal estimands for time-dependent treatment effects? Biometrical Journal, advance online publication.
  • Edelmann, D., Terzer, T., Horak, P., Schlenk, R., & Benner, A. (2025). The Progression‐Free‐Survival Ratio in Molecularly Aided Tumor Trials: A Critical Examination of Current Practice and Suggestions for Alternative Methods. Biometrical Journal, 67, e70028.
  • Edelmann, D., Goeman, J. (2022). A Regression Perspective on Generalized Distance Covariance and the Hilbert-Schmidt Independence Criterion. Statistical Science 37, 562-579.
  • Edelmann, D., Welchowski, T., and Benner, A. (2022). A consistent version of distance covariance for right‐censored survival data and its application in hypothesis testing. Biometrics 78, 867-879.
  • Edelmann, D., Saadati, M., Putter, H., and Goeman, J. (2020). A global test for competing risks survival analysis. Statistical Methods in Medical Research 29, 3666-3683.
  • Edelmann, D., Vogel, D., and Richards, D. (2020). The distance standard deviation. Annals of Statistics 48, 3395-3416.
  • Gündert, M., Edelmann, D., Benner, A., Jansen, L., Jia, M., Walter, V., Knebel, P., Herpel, E., Chang-Claude, J., Hoffmeister, M., Brenner, H. and Burwinkel, B. (2019). Genome-wide DNA methylation analysis reveals a prognostic classifier for non-metastatic colorectal cancer (ProMCol classifier). Gut 68, 101-110
  • Dueck, J., Edelmann, D., Gneiting, T. and Richards, D. (2014). The affinely invariant distance correlation. Bernoulli 20, 2305-2330.

 

 

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