Causal inference Part 1

This workshop will provide an introduction to the fundamentals of causal inference, and emphasize the limitations of some common statistical techniques for uncovering causal relationships.

The outcomes of this workshop include knowledge of

     > Experimental and observational studies
     > Objectives of statistical analyses
     > Structural assumptions
     > Graphical representations
     > Counterfactual notation

Pre-requisites: Basic knowledge of statistical concepts and terms (eg regression modelling, bias).

Click here to register!

Date: Monday February 21, 2022
Time: 1PM to 3PM
Location: In person - Burnside Hall BH511 *Vaccine passport required
Instructor: Prof. David A. Stephens, Department of Mathematics and Statistics.