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Publications of the Working Group Biostatistics at the LMU


  • Davis K, Perez-Guzman P, Hoyer A, Brinks R, Gregg E, Althoff K, Justice A, Reiss P, Gregson S, Smit M.
    Association between HIV infection and hypertension: a global systematic review and meta-analysis of cross-sectional studie. BMC Med 2021, doi: 10.1186/s12916-021-01978-7
  • Hoyer A, Zapf A. Studies for the Evaluation of Diagnostic Tests- Part 28 of a Series on Evaluation of Scientific Publications. Deutsches Ärzteblatt Int. 2021, doi: 10.3238/arztebl.m2021.0224
  • Tönnies T, Hoyer A, Brinks R. Productivity-adjusted life years lost due to type 2 diabetes in Germany in 2020 and 2040. Diabetologia 2021, doi: 10.1007/s00125-021-05409-3
  • Tönnies T, Heidemann C, Paprott R, Seidel-Jacobs E, Scheidt-Nave C, Brinks R, Hoyer A. Estimating the impact of tax policy interventions on the projected number and prevalence of adults with type 2 diabetes in Germany between 2020 and 2040. BMJ Open Diabetes Res Care 2021;1:e001813
  • Zapf A, Albert C, Frömke C, Haase M, Hoyer A, Jones H E, Rücker G. Meta-analysis of diagnostic accuracy studies with multiple thresholds: Comparison of different approaches. Biometrical Journal 2021, doi: 10.1002/bimj.202000091. Online ahead of print.


  • Kuss O, Hoyer A. A proportional risk model for time-to-event analysis in randomized controlled trials. Statistical Methods in Medical Research 2020. doi: 10.1177/0962280220953599. (Epub ahead of print)

Previous Publications (Selection)


  • Hoyer A, Kuss O. Meta-analysis of full ROC curves with flexible parametric distributions of diagnostic test values. Research Synthesis Methods 2020;11(2):301-313


  • Jacobs E, Tönnies T, Rathmann W, Brinks R, Hoyer A. Association between regional deprivation and type 2 diabetes incidence in Germany. BMJ Open Diabetes Research & Care 2019;7:e000857
  • Hoyer A, Kaufmann S, Brinks R. Risk factors in the illness-death model: Simulation study and the partial differential equation about incidence and prevalence. PLoS One 2019;14(12):e0226554
  • Brinks R, Toennies T, Hoyer A. New ways of estimating excess mortality of chronic diseases from aggregated data: Insights from the illness-death model. BMC Public Health 2019;19(1):844
  • Hoyer A, Kuss O. Meta-analysis of full ROC curves: Additional flexibility by using semiparametric distributions of diagnostic test values. Research Synthesis Methods 2019;10(4):528-538


  • Brinks R, Hoyer A. Illness-death model: statistical perspective and differential equations. Lifetime Data Analysis 2018;24(4):743-754
  • Hoyer A, Rathmann W, Kuss O. Utility of HbA1c and Fasting Plasma Glucose for Screening of Type 2 Diabetes – A Meta-Analysis of full ROC Curves. Diabetic Medicine 2018; 35(3):317-322
  • Hoyer A, Kuss O. Meta-analysis for the comparison of two diagnostic tests - a new approach based on copulas. Statistics in Medicine 2018; 37(5):739-748
  • Hoyer A, Hirt S, Kuss O. Meta-analysis of full ROC curves using bivariate time-to-event models for interval-censored data. Research Synthesis Methods 2018;9(1):62-72