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  • Medical School EWL

    Graphic of the building R.1 of the Medical School EWL
    © Universität Bielefeld

Publications

Selection of publications between 2021 and 2018:

2021

  • Tönnies T, Baumert J, Heidemann C, von der Lippe E, Brinks R, Hoyer A. Diabetes free life expectancy and years of life lost associated with type 2 diabetes: projected trends in Germany between 2015 and 2040. Popul Health Metr 2021;19(1):38, doi: 10.1186/s12963-021-00266-z
  • Brinks R, Tönnies T, Hoyer A. Impact of diagnostic accuracy on the estimation of excess mortality from incidence and prevalence: simulation study and application to diabetes in German men. F1000Res 2021;10:49, doi: 10.12688/f1000research.28023.1
  • 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 studies. BMC Med 2021;19(1):105, 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. Dtsch Arztebl Int. 2021;118, 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;64(6):1288-1297, 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;9(1):e001813, doi: 10.1136/bmjdrc-2020-001813
  • 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. Biom J 2021;63(4):699-711, doi: 10.1002/bimj.202000091

 

2020

  • Kuss O, Hoyer A. A proportional risk model for time-to-event analysis in randomized controlled trials. Stat Methods Med Res 2020;30(2):411-424. doi: 10.1177/0962280220953599
  • Hoyer A, Kuss O. Meta-analysis of full ROC curves with flexible parametric distributions of diagnostic test values. Res Synth Methods 2020;11(2):301-313, doi: 10.1002/jrsm.1395

 

2019

  • Jacobs E, Tönnies T, Rathmann W, Brinks R, Hoyer A. Association between regional deprivation and type 2 diabetes incidence in Germany. BMJ Open Diabetes Res Care 2019;7(1):e000857, doi: 10.1136/bmjdrc-2019-000857
  • 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, doi: 10.1371/journal.pone.0226554
  • Hoyer A, Kuss O. Meta-analysis of full ROC curves: Additional flexibility by using semiparametric distributions of diagnostic test values. Res Synth Methods 2019;10(4):528-538, doi: 10.1002/jrsm.1364

 

2018

  • Brinks R, Hoyer A. Illness-death model: statistical perspective and differential equations. Lifetime Data Anal 2018;24(4):743-754, doi: 10.1007/s10985-018-9419-6
  • 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. Diabet Med 2018; 35(3):317-322, doi: 10.1111/dme.13560
  • Hoyer A, Hirt S, Kuss O. Meta-analysis of full ROC curves using bivariate time-to-event models for interval-censored data. Res Synth Methods 2018;9(1):62-72, doi: 10.1002/jrsm.1273
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