Computational and Data Systems Initiative
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).
Date: Monday February 21, 2022
Time: 1:30PM to 3PM
Location: online via Zoom
Instructor: Prof. David A. Stephens, Department of Mathematics and Statistics.