| Predictors of clinical effectiveness of H ymenoptera venom immunotherapy F Ruëff, B Vos, J Oude Elberink, A Bender, R Chatelain, S Dugas‐Breit, ... Clinical & Experimental Allergy: Clinical Allergy 44 (5), 736-746, 2014 | 159 | 2014 |
| Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations AL Boulesteix, A Bender, J Lorenzo Bermejo, C Strobl Briefings in Bioinformatics 13 (3), 292-304, 2012 | 152 | 2012 |
| A generalized additive model approach to time-to-event analysis A Bender, A Groll, F Scheipl Statistical Modelling 18 (3-4), 299-321, 2018 | 108 | 2018 |
| Nowcasting the COVID‐19 pandemic in Bavaria F Günther, A Bender, K Katz, H Küchenhoff, M Höhle Biometrical Journal 63 (3), 490-502, 2021 | 95 | 2021 |
| mlr3proba: an R package for machine learning in survival analysis R Sonabend, FJ Király, A Bender, B Bischl, M Lang Bioinformatics 37 (17), 2789-2791, 2021 | 77 | 2021 |
| Pammtools: Piece-wise exponential additive mixed modeling tools A Bender, F Scheipl arXiv preprint arXiv:1806.01042, 2018 | 41 | 2018 |
| Possibilities and limitations of spatially explicit site index modelling for spruce based on National Forest Inventory data and digital maps of soil and climate in Bavaria (SE … S Brandl, W Falk, HJ Klemmt, G Stricker, A Bender, T Rötzer, H Pretzsch Forests 5 (11), 2626-2646, 2014 | 41 | 2014 |
| Prevalence and severity of foot pad alterations in German turkey poults during the early rearing phase S Bergmann, N Ziegler, T Bartels, J Hübel, C Schumacher, E Rauch, ... Poultry science 92 (5), 1171-1176, 2013 | 39 | 2013 |
| Analysis of the early COVID-19 epidemic curve in Germany by regression models with change points H Küchenhoff, F Günther, M Höhle, A Bender Epidemiology & Infection 149, e68, 2021 | 38 | 2021 |
| Predicting non-state terrorism worldwide A Python, A Bender, AK Nandi, PA Hancock, R Arambepola, J Brandsch, ... Science advances 7 (31), eabg4778, 2021 | 37 | 2021 |
| Deep learning for survival analysis: a review S Wiegrebe, P Kopper, R Sonabend, B Bischl, A Bender Artificial Intelligence Review 57 (3), 65, 2024 | 36 | 2024 |
| Penalized estimation of complex, non-linear exposure-lag-response associations A Bender, F Scheipl, W Hartl, AG Day, H Küchenhoff Biostatistics 20 (2), 315-331, 2019 | 36 | 2019 |
| A general machine learning framework for survival analysis A Bender, D Rügamer, F Scheipl, B Bischl Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 32 | 2020 |
| 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 | 29 | 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 | 25 | 2021 |
| Association between donor age and risk of graft failure after liver transplantation: an analysis of the Eurotransplant database S Pratschke, A Bender, F Boesch, J Andrassy, M van Rosmalen, ... Transplant International 32 (3), 270-279, 2019 | 25 | 2019 |
| Nutritional screening for risk prediction in patients scheduled for extra-abdominal surgery D Kuppinger, WH Hartl, M Bertok, JM Hoffmann, J Cederbaum, A Bender, ... Nutrition 29 (2), 399-404, 2013 | 25 | 2013 |
| A comparative analysis of pediatric mental health-related emergency department utilization in Montréal, Canada, before and during the COVID-19 pandemic G Beaudry, O Drouin, J Gravel, A Smyrnova, A Bender, M Orri, ... Annals of General Psychiatry 21 (1), 17, 2022 | 23 | 2022 |
| Calorie intake and short-term survival of critically ill patients WH Hartl, A Bender, F Scheipl, D Kuppinger, AG Day, H Küchenhoff Clinical Nutrition 38 (2), 660-667, 2019 | 23 | 2019 |
| Modelling geospatial distributions of the triatomine vectors of Trypanosoma cruzi in Latin America A Bender, A Python, SW Lindsay, N Golding, CL Moyes PLoS neglected tropical diseases 14 (8), e0008411, 2020 | 22 | 2020 |
Helmut KüchenhoffInstitut für Statistik, LMU MünchenVerified email at stat.uni-muenchen.de
