This past June, we had a new, virtual short course that provided a non-technical introduction to concepts in causality for researchers in a wide range of clinical and social-science fields. In just two half-days, top experts from the University of Pennsylvania and Rutgers University covered a variety of foundational topics, grounded in real-world applications. Attendees had a basic understanding of statistical regression modeling.
The schedule for the short course is listed below. We plan to have additional courses in the late fall of 2020.
|9:00 - 9:30 am||A brief history of causality||Dylan Small, PhD|
|9:30 - 11:30 am||Basic concepts: association versus causation, confounding, directed acyclic graphs, potential outcomes framework, average causal effect|
|11:30 - 1:00 pm||Heterogeneity of treatment effect, mediation||Jason Roy, PhD|
|9:00 - 10:30 am||Propensity scores: Matching, inverse probability of treatment weighting (IPTW)||Andrew Spieker, PhD|
|10:30 - 12:00 pm||Instrumental variables||Nandita Mitra, PhD|
|12:00 - 1:00 pm||Causal study designs: Difference-in-differences, regression discontinuity||Luke Keele, PhD|