Expert public only
James Robins, Professor of Epidemiology, Harvard T.H. Chan School of Public Health
The principal focus of Dr. Robins’ research has been the development of analytic methods appropriate for drawing causal inferences from complex observational and randomized studies with time-varying exposures or treatments.
Dr. Robins is the Mitchell L. and Robin LaFoley Dong Professor of Epidemiology at the Harvard TH Chan School of Public Health. He is a renowned epidemiologist and biostatistician, as well as an award-winning mentor. His contributions to quantitative methods helped define modern epidemiology. In addition to leading the movement to improve methods for causal inference in observational health research studies, Dr. Robins developed novel methods for evaluating time-varying exposures, including structural nested models and marginal structural models. His recent work has addressed diverse domains including higher order influence function estimators, identification of effects with instrumental variables, enhancing the validity of per-protocol analyses of trials, and integrating empirical and simulation studies. We offer no title for the talk because Dr. Robins’ public lectures are notoriously unpredictable, but they are reliably entertaining, provocative, and insightful.
Organizational and administrative matters
Prof. James Robins, Professor of Epidemiology, Harvard T.H. Chan School of Public Health
Berlin Epidemiological Methods Colloquium
Virchow-Saal, Philippstr. 12, Charité – Campus Mitte
Register: Website BEMC