CAUSAL INFERENCE WORKING GROUP
Department of Biostatistics
Johns Hopkins Bloomberg School of Public Health
This group is comprised of a multi-disciplinary group of students and faculty from Johns Hopkins University, who are interested in the application and development of statistical methods for drawing causal inferences about intervention effects from partially-controlled studies, or from randomized controlled trials with complications such as non-compliance or missing data. We have open group meetings 1-2 times per month, with speakers. For a calendar of events see the "Events" tab above.
Click here to SIGN UP through our Google groups mailing list, to receive causal inference seminar announcements.