Causal Inference

The course utilises the potential outcome framework and the graphical, structural causal model framework for defining and estimating causal parameters for average causal effects and mediation analysis. Settings of randomised experiments and observational studies are covered. Underlying assumptions for defining causal parameters are described together with identifying assumptions for observational studies. Different causal effect estimators and their properties are studied and explored.