- Hannah Schulz-Kümpel, Sebastian Fischer, Thomas Nagler, Anne-Laure Boulesteix, Bernd Bischl, & Roman Hornung. (2024). Constructing Confidence Intervals for 'the' Generalization Error – a Comprehensive Benchmark Study. arXiv:2409.18836 [stat.ML]. https://doi.org/10.48550/arXiv.2409.18836
- Kümpel, H., & Hoffmann, S. (2022). A formal framework for generalized reporting methods in parametric settings. arXiv:2211.02621 [stat.ME]. doi:10.48550/ARXIV.2211.02621
- Sarafoglou, A., Hoogeveen, S., van den Bergh, D., Aczel, B., Albers, C. J., Althoff, T., … Wagenmakers, E. (2024). Subjective Evidence Evaluation Survey For Multi-Analyst Studies. Manuscript submitted for publication. https://doi.org/10.31234/osf.io/mxje3 (As part of the expert panel)
- Brunner, J., Jörgens, M., Weigert, M., Kümpel, H., Degen, N., & Fuermetz, J. (2023). Significant changes in lower limb alignment due to flexion and rotation—a systematic 3D simulation of radio- graphic measurements. Knee Surg Sports Traumatol Arthrosc. doi:10.1007/s00167-022-07302-x
- Bauer, A., Klima, A., Gauß, J., Kümpel, H., Bender, A., & Küchenhoff, H. (2022). Mundus Vult Decipi, Ergo Decipiatur: Visual Communication of Uncertainty in Election Polls. PS: Political Science & Politics, 55(1), 102-108. doi:10.1017/S1049096521000950
Conference-presentations
- Schulz-Kümpel, H. A general framework for reporting methods in regression analysis (2023). 64th ISI World Statistics Congress - Ottawa, Canada. - Slides as PDF
- Schulz-Kümpel, H. A flexible framework for interpretable and individualized reporting of model results (2023). CEN 2023 Conference - Basel, Switzerland. - Slides as PDF
- Schulz-Kümpel, H. A re-examination of inference methods for the generalization error (2023). Statistische Woche 2023 - Dortmund, Germany. - Slides as PDF