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Department of Statistics
Doctoral student

M.Sc. Marieke Stolte

Contact

TU Dort­mund Uni­ver­sity
Department of Sta­tis­tics
Statistical Methods in Genetics and Chemometrics
Mathematics Building, Room 713
44221 Dortmund
Germany

E-Mail: stoltestatistik.tu-dortmundde
Phone: +49 231 755 5904

Symbolic image of a person © TU Dortmund
  • since February 2022: Doctoral Student
  • 2016-2021: Study of Sta­tis­tics at TU Dort­mund Uni­ver­sity
    Master Thesis: Bias in logistic regression [Verzerrung in der logistischen Regression] 
  • Statistical learning methods for high-dimensional genetic datasets
  • Simulation studies
  • Methods for quantifying similarity of datasets

ORCiD

 

2024

Stolte, M., Schreck, N., Slynko, A., Saadati, M., Benner, A., Rahnenführer, J., & Bommert, A. M. (2024). Simulation study to evaluate when Plasmode simulation is superior to parametric simulation in estimating the mean squared error of the least squares estimator in linear regression. PLOS ONE [ISSN: 1932-6203], 19(5), e0299989. https://doi.org/10.1371/journal.pone.0299989

2023

Stolte, M., Albrecht, W., Brecklinghaus, T., Gründler, L., Chen, P., Hengstler, J. G., Kappenberg, F., & Rahnenführer, J. (2023). Classification of hepatotoxicity of compounds based on cytotoxicity assays is improved by additional interpretable summaries of high-dimensional gene expression data. Computational Toxicology, 28, Article 100288. https://doi.org/10.1016/j.comtox.2023.100288

 

  • Exercises for Computergestütze Statistik (WiSe 2022/23)
  • Introductory Case Studies (WiSe 2022/23)
  • Exercises for Statistical Methods for Genetics (Bioinformatics) (SuSe 2023)
  • Exercises for Computergestütze Statistik (WiSe 2023/24)
  • Exercises for Wahrscheinlichkeitsrechnung und mathematische Statistik für Informatiker (WRUMS) (WiSe 2023/24)