Research Interest

  • Statistical Learning
  • Survival Analysis
  • Distributional Regression
  • Spatial Analysis


Summer Semester 2020:

Short CV

  • July 2018: Promotion in Statistik, LMU München
  • October 2018 - July 2019: PostDoc am Big Data Institute, University of Oxford
  • November 2019: PostDoc am Institut für Statistik, Arbeitsgruppen Computationale Statistik und Statistisches Beratungslabor
  • April 2020: Vertretungsprofessur Uni Ulm



  1. Bauer A, Bender A, Klima A, Küchenhoff H (2019) KOALA: a new paradigm for election coverage. AStA Advances in Statistical Analysis.
  2. Bender A, Python A, Lindsay S, Golding N, Moyes CL (2019) Modelling geospatial distributions of the triatomine vectors of Trypanosoma cruzi in Latin America. bioRxiv, 738310.
  3. Bender A, Bauer A (2018) coalitions: Coalition probabilities in multi-party democracies.
  4. Bender A, Groll A, Scheipl F (2018) A generalized additive model approach to time-to-event analysis. Statistical Modelling 18, 299–321.
  5. Bender A, Scheipl F (2018) pammtools: Piece-wise exponential Additive Mixed Modeling tools. arXiv:1806.01042 [stat].
  6. Bender A, Scheipl F, Hartl W, Day AG, Küchenhoff H (2018) Penalized estimation of complex, non-linear exposure-lag-response associations. Biostatistics.
  7. Hartl WH, Bender A, Scheipl F, Kuppinger D, Day AG, Küchenhoff H (2018) Calorie intake and short-term survival of critically ill patients. Clinical Nutrition.
  8. Pratschke S, Bender A, Boesch F et al. (2018) Association between donor age and risk of graft failure after liver transplantation: An analysis of the Eurotransplant database - a retrospective cohort study. Transplant International 0.
  9. Maierhofer T, Pfisterer F, Bender A et al. (2017) Kosten als Instrument zur Effizienzbeurteilung intensivmedizinischer Funktionseinheiten. Medizinische Klinik - Intensivmedizin und Notfallmedizin, 1–7.
  10. Brandl S, Falk W, Klemmt H-J et al. (2014) 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 Germany). Forests 5, 2626–2646.
  11. Ruëff F, Vos B, Oude Elberink J et al. (2014) Predictors of clinical effectiveness of Hymenoptera venom immunotherapy. Clinical & Experimental Allergy 44, 736–746.
  12. Guillemot V, Bender A, Boulesteix A-L (2013) Iterative Reconstruction of High-Dimensional Gaussian Graphical Models Based on a New Method to Estimate Partial Correlations under Constraints. PLoS ONE 8, e60536.
  13. Kuppinger D, Hartl WH, Bertok M et al. (2013) Nutritional screening for risk prediction in patients scheduled for extra-abdominal surgery. Nutrition 29, 399–404.
  14. Bergmann S, Ziegler N, Bartels T et al. (2013) Prevalence and severity of foot pad alterations in German turkey poults during the early rearing phase. Poultry science 92, 1171–1176. Researchgate.
  15. Boulesteix A-L, Bender A, Lorenzo Bermejo J, Strobl C (2012) Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations. Briefings in Bioinformatics 13, 292–304.