Research Group Rohmann

Research in the Neuroepidemiology Group focuses on the development and application of modern epidemiological and statistical methods in the context of stroke and other neurological diseases. Our research projects focus on the application of causal inference methods and clinical risk prediction modeling, as well as methods work at the intersection of these domains. Our diverse breadth of applied projects in medicine and population health illustrate how methodological projects often transcend traditional discipline boundaries. Currently, our clinical focus areas include headache disorders and neurovascular outcomes, hypercoagulability, short- and long-term outcomes after stroke, sex- and gender aspects in neurovascular disease, and the analysis of neurological disease registry data.

The Neuroepidemiology Group further contributes methodological expertise to studies at the Center for Stroke Research as well as to numerous national and international collaborations. Our group values reproducibility, transparency, and quality of methodological reporting in research. We actively promote the use of modern causal inference tools, such as directed acyclic graphs, in applied research. We advocate for these aspects within Charité through our involvement in training Master’s and doctoral students as well as early-career researchers. For example, our group members are active in the "Health Data Sciences" PhD Program and the "Peerspectives" peer-review training initiative (in collaboration with the BMJ). Outreach activities, such as the "Berlin Epidemiological Methods Colloquium" (BEMC), promote continuing education on these topics and serve to connect the Berlin community of methodological enthusiasts at-large.

We closely collaborate with the "Causal methOds and NeuroVascular Epidemiology Research Group" (CONVERGE) at the Institute of Public Health at Charité and with Bob Siegerink, PhD, (former CSB group leader) at the Department of Clinical Epidemiology at the Leiden University Medical Center.