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Institute of Medical Biometry and Statistics (IMBI)

Methods in Clinical Epidemiology (MICLEP)

COVID-19 research

Methodological articles for observational studies:

Donker, T, Buerkin, F, Wolkewitz, M, Haverkamp, C, Christoffel, D, Kappert, O, Hammer, T, Busch, HJ, Biever, P, Kalbhenn, J, Buerkle, H, Kern, W, Wenz, F, Grundmann, H (2020). Navigating hospitals safely through the COVID-19 epidemic tide: predicting case load for adjusting bed capacity. Infect Control Hosp Epidemiol,:1-14:https://www.cambridge.org/core/journals/infection-control-and-hospital-epidemiology/article/navigating-hospitals-safely-through-the-covid19-epidemic-tide-predicting-case-load-for-adjusting-bed-capacity/6D7E4D93419471B27BEA52AB1ECBD93D

Wolkewitz, M, Puljak, L (2020). Methodological challenges of analysing COVID-19 data during the pandemic. BMC Med Res Methodol, 20, 1:81: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-020-00972-6

Hazard, D., Kaier, K., von Cube, M., Grodd, M., Bugiera, L., Lambert, J., & Wolkewitz, M. (2020). Joint analysis of duration of ventilation, length of intensive care, and mortality of COVID-19 patients: a multistate approach. BMC Medical Research Methodology, 20, 206: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-020-01082-z

Wolkewitz, M., Lambert, J., von Cube, M., Bugiera, L., Grodd, M., Hazard, D., White N., Barnett A. & Kaier, K. (2020). Statistical Analysis of Clinical COVID-19 Data: A Concise Overview of Lessons Learned, Common Errors and How to Avoid Them. Clinical epidemiology, 12, 925: https://www.dovepress.com/statistical-analysis-of-clinical-covid-19-data-a-concise-overview-of-l-peer-reviewed-article-CLEP


Methodological articles for randomized controlled trials:

von Cube, M., Grodd, M., Wolkewitz, M., Wengenmayer, T., Carnet, E., Lambert, J. (2020) Critical Care Medicine (accepted). Preprint: https://www.medrxiv.org/content/10.1101/2020.03.31.20049007v1


Medical articles:

Rieg, S., von Cube, M., Kalbhenn, J., Utzolino, S., Pernice, K., Bechet, L., Baur, J., Lang, C., Wagner, D., Wolkeiwtz, M., Kern, W., Biever, P. (2020) submitted. Preprint: https://www.medrxiv.org/content/10.1101/2020.07.22.20160127v1







M. Sc. Derek Hazard

  • Cohort studies
  • Competing risks

Dr. Lars Bugiera

  • Multistate Modelling
  • Recurrent Events analysis
  • Symmetry and Uniqueness in nonlocal elliptic PDEs

Dr. Maja von Cube

  • Multistate modelling
  • Causal inference
  • Dynamic prediction

Dipl. -Math. Susanne Weber

  • Diagnostic studies
  • Observational studies
  • Competing Risiks
  • Prediction models

Dr. Klaus Kaier

  • Health economics

M. Sc. Marlon Grodd

  • Multistate modelling
  • Complex clinical trials
  • Sample size calculations

Dipl. -Math. Maren Eckert

  • Diagnostic accuracy studies
  • Personalized medicine

M. Sc. Paulina Staus

  • Communication between medical/biological scientists and statisticians

  • Weighting mechanisms


Prof. Dr. Martin Wolkewitz

  • Statistical methods in hospital epidemiology
  • Multistate modelling
  • Mathematical modelling of epidemics