Institute of Medical Biometry and Statistics (IMBI)

Methodological articles for observational studies:

Refisch, L., Lorenz, F., Riedlinger, T., Taubenböck, H., Fischer, M., Grabenhenrich, L., Wolkewitz, M., Binder, H. & Kreutz, C. (2022). Data-driven prediction of COVID-19 cases in Germany for decision making. BMC medical research methodology, 22(1), 1-13. (https://doi.org/10.1186/s12874-022-01579-9)

Grodd, M., Refisch, L., Lorenz, F., Fischer, M., Lottes, M., Hackenberg, M., Kreutz C., Grabenhenrich, L., Binder H.  & Wolkewitz, M. (2022). Forecasting models to guide intensive care COVID-19 capacities in Germany. Medizinische Klinik, Intensivmedizin und Notfallmedizin (https://doi.org/10.1007/s00063-022-00903-x)

Wolkewitz, M., & Martinuka, O. (2022, January). Response to “Overlooked Shortcomings of Observational Studies of Interventions in Coronavirus Disease 2019: An Illustrated Review for the Clinician” by Tleyjeh et al. In Open forum infectious diseases (Vol. 9, No. 1, p. ofab614). US: Oxford University Press. (https://doi.org/10.1093/ofid/ofab614)

Marateb, H. R., Ziaie Nezhad, F., Mohebian, M. R., Sami, R., Haghjooy Javanmard, S., Dehghan Niri, F., ... Wolkewitz, M. & Binder, H. (2021). Automatic classification between COVID-19 and non-COVID-19 pneumonia using symptoms, comorbidities, and laboratory findings: The Khorshid COVID Cohort Study. Frontiers in Medicine, 8, 768467. (https://doi.org/10.3389/fmed.2021.768467)

Marateb, H. R., von Cube, M., Sami, R., Haghjooy Javanmard, S., Mansourian, M., Amra, B., ... & Wolkewitz, M. (2021). Absolute mortality risk assessment of COVID-19 patients: the Khorshid COVID Cohort (KCC) study. BMC medical research methodology, 21(1), 1-9. (https://doi.org/10.1186/s12874-021-01340-8)

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: (2021). Additional insights on the modelling of the COVID-19 clinical progression using multi-state methodology. American Journal of Epidemiology. (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:

Renk, H., Dulovic, A., Seidel, A., Becker, M., Fabricius, D., Zernickel, M., ... & Elling, R. (2022). Robust and durable serological response following pediatric SARS-CoV-2 infection. Nature communications, 13(1), 1-11. (https://doi.org/10.1038/s41467-021-27595-9)

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)