Using Causal DAGs to Quantify a Racial Health Disparity in the Presence of Non-Random Selection

February 09
10-11am
708 Broadway, Room 801

Hosted by the Department of Epidemiology

Join Dr. Chanelle Howe, Associate Professor in the Department of Epidemiology at the Brown University School of Public Health, for the next talk in the Epi Seminar Series

This talk will: (1) define the difference between a racial health difference and a racial health disparity; (2) provide recommendations for using causal directed acyclic graphs (DAGs) to quantify a racial health disparity; (3) demonstrate how causal DAGs can be used to determine when non-random selection can be considered to be a source of bias when quantifying a racial health disparity; and (4) use causal DAGs to discuss approaches for excluding a selection pathway from a racial health disparity measure to minimize bias.

Please note, this event is only open to current NYU students, faculty, and staff. Contact the Department of Epidemiology at gph.epi@nyu.edu with any questions.