Dr. Maike Hohberg

I moved to the Department of Medical Statistics (UMG Goettingen) where I will build up a group working on "Computational Statistics in Medical Research". For my new department website, visit: Link

Short C.V.


  • 2020-2022 University of Heidelberg, Heidelberg Institute of Global Health, Postdoctoral Researcher
  • 2022 second state exam in medicine, University of Goettingen
  • 2022 Stanford University, Division of Primary Care and Population Health, Visiting Postdoctoral Researcher
  • 2015-2022 University of Goettingen, Chair of Statistics, Doctoral and Postdoctoral Researcher
  • 2020 Ph.D. Applied Statistics, University of Goettingen
  • 2018 University College London, Department of Statistical Science, Visiting Researcher
  • 2014 - 2015 University College London, Institute for Sustainable Resources, Doctoral Researcher
  • 2014 - 2015 The World Bank, Research Unit - Financial and Private Sector Development, consultant
  • 2013 - 2014 The World Bank, Environment Unit for Latin America and Caribbean Region, consultant and Carlo Schmid Fellow
  • 2012 - 2013 Student Research Assistant at the German Institute of Global and Area Studies (GIGA), at the University of Hagen, and at the University of Goettingen
  • M.A. International Economics, University of Goettingen and Delhi School of Economics, India
  • B.Sc. Economics and Business Administration, University of Passau and Universidad Cátolica de Córdoba, Argentina



Publications and working papers


  • Martins R., Sousa, B., Kneib, T., Hohberg, M., Klein, N., Duarte, E., Rodrigues, V.(2022): Is age at menopause decreasing?–The consequences of not completing the generational cohort. BMC Medical Research Methodology. Link

  • Hohberg, M., Donat, F., Marra, G., Kneib, T. (2021): Beyond Unidimensional Poverty Analysis Using Distributional Copula Models for Mixed Ordered-Continuous Outcomes. Journal of the Royal Statistical Society - Series C. Link

  • Briseño Sánchez, G., Hohberg, M., Groll, A., Kneib, T. (2020): Flexible instrumental variable distributional regression. Journal of the Royal Statistical Society - Series A. Link

  • Hohberg, M., Pütz, P., Kneib, T. (2020). Treatment effects beyond the mean using distributional regression: Methods and guidance. PLOS ONE. Link

  • Hohberg, M., Kneib, T., Sohn, A. (2019): Mehr als Durchschnittsstatistik. Eine kritische Einführung in Regressionsmethoden jenseits des Mittelwertes. In Petersen, D.J., Willers, D., Schmitt, E.M., Birnbaum, R., Meyerhoff, J.H.E., Gießler, S., Roth, B. (eds.): Perspektiven einer Pluralen Ökonomik, Springer VS: Wiesbaden.

  • Hohberg, M., Landau, K., Kneib, T., Klasen, S., Zucchini, W. (2018): Vulnerability to poverty revisited: Flexible modeling and better predictive performance. Journal of Economic Inequality. Link

  • Krüger, L., Hohberg, M., Lehmann, W., Dresing, K. (2018): Assessing the risk for major injuries in equestrian sports. BMJ Open Sport & Exercise Medicine. Link

  • Hohberg, M., Lay, J. (2015): The Impact of Minimum Wages on Informal and Formal Labor Market Outcomes: Evidence from Indonesia. IZA Journal of Labor & Development (4): 14. Link



Working papers


  • A flexible adaptive lasso Cox frailty model based on the full likelihood (with Andreas Groll) Link