Deep learning for survival analysis: a review S Wiegrebe, P Kopper, R Sonabend, B Bischl, A Bender Artificial Intelligence Review 57 (3), 65, 2024 | 40 | 2024 |
Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models WH Hartl, P Kopper, A Bender, F Scheipl, AG Day, G Elke, H Küchenhoff Critical Care 26, 1-12, 2022 | 30 | 2022 |
Semi-structured deep piecewise exponential models P Kopper, S Pölsterl, C Wachinger, B Bischl, A Bender, D Rügamer Survival Prediction-Algorithms, Challenges and Applications, 40-53, 2021 | 26 | 2021 |
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses H Seibold, S Czerny, S Decke, R Dieterle, T Eder, S Fohr, N Hahn, ... PLoS One 16 (6), e0251194, 2021 | 20 | 2021 |
DeepPAMM: deep piecewise exponential additive mixed models for complex hazard structures in survival analysis P Kopper, S Wiegrebe, B Bischl, A Bender, D Rügamer Pacific-Asia Conference on Knowledge Discovery and Data Mining, 249-261, 2022 | 17 | 2022 |
Deepregression: a flexible neural network framework for semi-structured deep distributional regression D Rügamer, C Kolb, C Fritz, F Pfisterer, P Kopper, B Bischl, R Shen, ... arXiv preprint arXiv:2104.02705, 2021 | 17* | 2021 |
Lime and neighbourhood P Kopper Limitations of Interpretable Machine Learning Methods, 201-222, 2019 | 4 | 2019 |
Examining properness in the external validation of survival models with squared and logarithmic losses R Sonabend, J Zobolas, P Kopper, L Burk, A Bender arXiv:2212.05260, 2024 | 3* | 2024 |
Correction: A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses H Seibold, S Czerny, S Decke, R Dieterle, T Eder, S Fohr, N Hahn, ... Plos one 17 (5), e0269047, 2022 | 3 | 2022 |
Flexible estimation of complex effects in the context of competing risks survival analysis P Kopper | 2 | 2020 |
Pammtools: piece-wise exponential additive mixed modeling tools for survival analysis 0.5. 4., 2020 A Bender, F Scheipl, P Kopper | 2 | |
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression L Kook, C Kolb, P Schiele, D Dold, M Arpogaus, C Fritz, PF Baumann, ... arXiv preprint arXiv:2405.05429, 2024 | 1 | 2024 |
Training Survival Models using Scoring Rules P Kopper, D Rügamer, R Sonabend, B Bischl, A Bender arXiv preprint arXiv:2403.13150, 2024 | | 2024 |
Relevance of Protein Intake for Weaning in the Mechanically Ventilated Critically Ill: Analysis of a Large International Database WH Hartl, P Kopper, L Xu, L Heller, M Mironov, R Wang, AG Day, G Elke, ... Critical Care Medicine 52 (3), e121-e131, 2024 | | 2024 |
Bedeutung der Proteinzufuhr für die Entwöhnung bei mechanisch beatmeten Intensivpatient* innen–Analyse einer großen internationalen Datenbank WH Hartl, P Kopper, L Xu, L Heller, M Mironow, R Wang, AG Day, G Elke, ... Aktuelle Ernährungsmedizin 48 (03), Abstract 23, 2023 | | 2023 |