Causality in Clinical Research: What, Why, When, and How

Please note: This course is 2 half days, both are from 9:00 AM - 1:00 PM. Please see Agenda for details. Cloud might not insert into your Calendar correctly. Please add to your calendar manually.

The Center for Causal Inference is pleased to announce a virtual short course that will provide a non-technical introduction to concepts in causality. In just two half-days, experts in the field will teach a variety of fundamental topics in causal inference including propensity score matching and weighting, instrumental variables, difference-in-differences study designs, and machine learning approaches. All methods will be illustrated using real clinical examples.

This course is aimed towards clinicians who have a basic understanding of statistics, but who have not had formal training in causal inference concepts and methods. The course will be led by faculty from the University of Pennsylvania, Rutgers, Johns Hopkins, and Vanderbilt who all have a substantial history of collaborating with clinician scientists.

1. Review the history of causality in the context of clinical research
2. Explain the difference between association versus causation
3. Describe various observational study designs
4. Apply analytical strategies for measured and unmeasured confounding

Please note: This course is 2 half days, both are from 9:00 AM - 1:00 PM. Please see Agenda for details. Cloud might not insert into your Calendar correctly. Please add to your calendar manually.