Dr. 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
+49 231 755 5531
- Dr. rer. nat. (Statistics): TU Dortmund University, 2022 - 2025
Dissertation: Comparing Simulation Strategies and Quantifying Similarity of Datasets - M.Sc. (Statistics): TU Dortmund University, 2019 - 2021
Master's Thesis: Bias in Logistic Regression [Verzerrung in der logistischen Regression] - B.Sc. (Statistics): TU Dortmund University, 2016 - 2019
Bachelor's Thesis: Simulative Evaluation of the Nemenyi Test as a Post-hoc Test for the Friedman Rank ANOVA [Simulative Überprüfung des Nemenyi-Tests als post-hoc Test für die Friedman-Rangvarianzanalyse]
Academic Work
- Since May 2025: Postdoctoral researcher at the Department of Statistics, TU Dortmund University
- February 2022 - May 2025: Doctoral researcher at the Department of Statistics, TU Dortmund University
Statistical Consulting
- Since February 2022: Academic staff at the Division Statistical Consulting and Analysis (SBAZ), Center for Higher Education, TU Dortmund University
- 2021-2022: Student assistent at the Division Statistical Consulting and Analysis (SBAZ), Center for Higher Education, TU Dortmund University
- Simulation studies
- Methods for quantifying similarity of datasets
- Statistical learning methods for high-dimensional genetic datasets
Projects
- Since 2022: Associate member of research training group (RTG) 2624 Biostatistical Methods for High-Dimensional Data in Toxicology, project P1: Determination of the minimum effective dose from high-dimensional expression data with statistical learning methods
- 2022: DFG Collaborative Research Center (CRC) 876 Providing Information by Resource-Constrained Data Analysis, project A3: Methods for Efficient Resource Utilization in Machine Learning Algorithms
2025
Albrecht, W., Brecklinghaus, T., Stolte, M., Kappenberg, F., Gründler, L., Chen, P., Cadenas, C., Damm, G., Edlund, K., Ghallab, A., Marchan, R., Nell, P., Reinders, J., Seehofer, D., Behr, A.-C., Braeuning, A., Thriel, C. van, Gardner, I., Rahnenführer, J., & Hengstler, J. G. (2025). Improved identification of human hepatotoxic potential by summary variables of gene expression. ALTEX - Alternatives to Animal Experimentation, 42(3), 397–412. https://doi.org/10.14573/altex.2403272
Otchwemah, R., Sons, D., Senges, C., Niesalla, H., Stolte, M., Herbrandt, S., & Mattner, F. (2025). Observing is influencing: how hand disinfection compliance observations affect hand disinfection rates; specifics derived from an electronic monitoring system. American Journal of Infection Control [ISSN: 0196-6553], 53(10), 1058–1063. https://doi.org/10.1016/j.ajic.2025.06.020
Stolte, M., Rahnenführer, J., Groll, A., & Hengstler, J. G. (2025). Comparing simulation strategies and quantifying similarity of datasets [Doctoral dissertation, TU Dortmund University]. https://doi.org/10.17877/de290r-25572
Stolte, M., Schreck, N., Slynko, A., Saadati, M., Benner, A., Rahnenführer, J., Bommert, A. M., & for the topic group "High-dimensional data" (TG9) of the STRATOS Initiative (2025). Simulation study to evaluate when Plasmode simulation is superior to parametric simulation in comparing classification methods on high-dimensional data. PLoS ONE, 20(6), Article e0322887. https://doi.org/10.1371/journal.pone.0322887
2024
Stolte, M., Herbrandt, S., & Ligges, U. (2024). A comprehensive review of bias reduction methods for logistic regression. Statistics Surveys, 18, 139–162. https://doi.org/10.1214/24-ss148
Stolte, M., Kappenberg, F., Rahnenführer, J., & Bommert, A. M. (2024). Methods for quantifying dataset similarity: a review, taxonomy and comparison. Statistics Surveys, 18, 163–298. https://doi.org/10.1214/24-ss149
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, 19(5), Article 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
2022
Fels, M., Knop, E. S., Stolte, M., Kemper, N., & Herbrandt, S. (2022). Vergleich verschiedener Dominanzindizes zur Bestimmung individueller Rangpositionen in Gruppen von Absetzferkeln [Bibliography]. Züchtungskunde, 6.
Tillmanns, M., Scheepens, K., Stolte, M., Herbrandt, S., Kemper, N., & Fels, M. (2022). Implementation of a pig toilet in a nursery pen with a straw-littered lying area. Animals, 12(1), Article 113. https://doi.org/10.3390/ani12010113
- Seminar Multivariate Two- and k-Sample Testing (WiSe 2025/26)
- Exercises for Computergestütze Statistik (WiSe 2025/26, WiSe 2024/25, WiSe 2023/24, WiSe 2022/23)
- Exercises for Klinische Studien (SuSe 2025)
- Fallstudien I (WiSe 2024/25)
- Exercises for Wahrscheinlichkeitsrechnung und mathematische Statistik für Informatiker (WRUMS) (WiSe 2023/24)
- Exercises for Statistical Methods for Genetics (Bioinformatics) (SuSe 2023)
- Introductory Case Studies (WiSe 2022/23)