Over‐optimism in benchmark studies and the multiplicity of design and analysis options when interpreting their results C Nießl, M Herrmann, C Wiedemann, G Casalicchio, AL Boulesteix Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 12 (2 …, 2022 | 36 | 2022 |
Explaining the optimistic performance evaluation of newly proposed methods: A cross‐design validation experiment C Nießl, S Hoffmann, T Ullmann, AL Boulesteix Biometrical Journal 66 (1), 2200238, 2024 | 12 | 2024 |
Beneficial effects of starting oral cysteamine treatment in the first 2 months of life on glomerular and tubular kidney function in infantile nephropathic cystinosis K Hohenfellner, C Nießl, D Haffner, J Oh, C Okorn, K Palm, ... Molecular genetics and metabolism 136 (4), 282-288, 2022 | 7 | 2022 |
Relationship between age at initiation of cysteamine treatment, adherence with therapy, and glomerular kidney function in infantile nephropathic cystinosis C Nießl, AL Boulesteix, J Oh, K Palm, P Schlingmann, S Wygoda, ... Molecular genetics and metabolism 136 (4), 268-273, 2022 | 5 | 2022 |
From RNA sequencing measurements to the final results: A practical guide to navigating the choices and uncertainties of gene set analysis M Wünsch, C Sauer, P Callahan, LC Hinske, AL Boulesteix Wiley Interdisciplinary Reviews: Computational Statistics 16 (1), e1643, 2024 | 3 | 2024 |
How to simulate realistic survival data? a simulation study to compare realistic simulation models M Thurow, I Dormuth, C Sauer, M Ditzhaus, M Pauly arXiv preprint arXiv:2308.07842, 2023 | 3 | 2023 |
Real-life effects of pharmacological osteoporosis treatments on bone mineral density by quantitative computed tomography E Boehm, C Sauer, A Baur-Melnyk, JT Biebl, S Harada, B Wegener, ... Journal of Bone and Mineral Metabolism 42 (6), 741-753, 2024 | 1 | 2024 |
To Tweak or Not to Tweak. How Exploiting Flexibilities in Gene Set Analysis Leads to Overoptimism M Wünsch, C Sauer, M Herrmann, LC Hinske, AL Boulesteix Biometrical Journal 67 (1), e70016, 2025 | | 2025 |
Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications C Sauer, AL Boulesteix, L Hanßum, F Hodiamont, C Bausewein, ... arXiv preprint arXiv:2412.03491, 2024 | | 2024 |
Data dredging in ranking analyses with focus on biomedical applications C Nießl | | 2019 |
CLG Bayes-Netze versus Pfadmodelle-Ein Vergleich zweier graphischer Modelle C Nießl | | 2017 |