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Methods in Clinical Epidemiology (MICLEP)

COVID-19 research

Methodological articles for observational studies:

Hazard, D., Kaier, K., von Cube, M., Lambert, J., & Wolkewitz, M. (2021). How to Quantify and Interpret Treatment Effects in Comparative Clinical Studies of COVID-19. Annals of internal medicine, 174(5), 731. (https://doi.org/10.7326/L20-1439)

Martinuka O, von Cube M and Wolkewitz M. "Methodological evaluation of bias in observational COVID-19 studies on drug effectiveness." Clinical Microbiology and Infection (2021) (https://doi.org/10.1016/j.cmi.2021.03.003).

Wolkewitz M, Binder H, Mañanas MA, Jordanic M, Khademi S, von Cube M, Reza Marateb H, Mansourian M (2021): Reliable Diagnosis and Prognosis of COVID-19. In V. Bajaj, G.R. Sinha (Ed.), Computer-aided Design and Diagnosis Methods for Biomedical Applications. (1st Ed., pp. 319-340) CRC Press. (https://doi.org/10.1201/9781003121152)

von Cube M, Wolkewitz M, Schumacher M, Hazard D: Additional insights on the modelling of the COVID-19 clinical progression using multi-state methodology. American Journal of Epidemiology, 2021; preprint ahead of print (https://doi.org/10.1093/aje/kwab044)

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

von Cube M, Grodd M, Wolkewitz M, Hazard D, Wengenmayer, T, Canet E, Lambert J: Harmonizing Heterogeneous Endpoints in Coronavirus Disease 2019 Trials Without Loss of Information. Critical Care Medicine, 2021; 49(1): E11-E19 (https://doi.org/10.1097/CCM.0000000000004741)

Medical articles:

Rieg, S., von Cube, M., Kalbhenn, J., Utzolino, S., Pernice, K., Bechet, L.,Johanna Baur, Corinna N. Lang, Dirk Wagner, Martin Wolkewitz, Winfried V. Kern, Paul Biever & COVID UKF Study Group. (2020). COVID-19 in-hospital mortality and mode of death in a dynamic and non-restricted tertiary care model in Germany. PloS one, 15(11), e0242127. (https://dx.plos.org/10.1371/journal.pone.0242127)


Prof. Dr. Martin Wolkewitz

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

M. Sc. Derek Hazard

  • Multistate Modelling
  • Competing Risks
  • Causal Inference
  • Cohort Weighting Designs

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

M.Sc. Oksana Martinuka

  • Causal inference
  • Inverse-probability weighting

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