SPH Friedgen Family Seminar
It is well-known that the conceptual basis for confounding adjustment in observational epidemiology is to mimic a randomized trial, but this does not provide a framework for descriptive studies. A major surveillance function of public health is the monitoring of racial and ethnic disparities, but the choice of covariate adjustments for such comparisons is not settled in the literature. This talk will propose a framework for such decisions.
Dr. Jay Kaufman, Professor in Department of Epidemiology, Biostatistics, and Occupational Health at McGill University. Dr. Kaufman's work focuses on social epidemiology, analytic methodology, causal inference and on a variety of health outcomes including perinatal outcomes and cardiovascular, psychiatric and infectious diseases. He is an editor at the journal “Epidemiology” and co-editor of the textbook “Methods in Social Epidemiology” (2nd Edition, 2017). He received the Excellence in Education Award from the Society for Epidemiologic Research (SER) in 2017 and is President of SER in 2020-2021.