Causal Inference and Observational Studies
Estimating cause and effect when experiments are not possible: potential outcomes, confounding and modern methods.
STAT-441 Year 4 3 credits 12 lessons planned ▶ Video lessons coming soon
Offered by HSM University · Statistics
Course content
- 1Correlation, causation and counterfactualsComing
- 2Potential outcomes and randomized experimentsComing
- 3Causal diagrams and confoundingComing
- 4MatchingComing
- 5Propensity scoresComing
- 6Inverse probability weightingComing
- 7Regression adjustment and doubly robust estimatorsComing
- 8Instrumental variablesComing
- 9Difference-in-differencesComing
- 10Regression discontinuityComing
- 11Sensitivity analysisComing
- 12Capstone: evaluating a public programComing
Requirements
Recommended background. You can start any course at any time.
Description
Estimating cause and effect when experiments are not possible: potential outcomes, confounding and modern methods.
Part of the Science stream, typically taken in year 4.