Causal Inference

Education facts

Code: 2ST124

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.

Entry requirements

120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Causal Inference

  Uppsala University

  Uppsala

  Start date: 25 March 2027

  End date: 6 June 2027

  Pace of study: 50 %