Causal Inference Courses by Se Yoon Lee, Ph.D.

I. Basics of Causal Inference

Audience: High school – 1st-year undergraduate

Lecture	Topic	HTML	Source
Lecture 1	Basics of Causal Inference: Correlation is not Causation	View HTML	Rmd \| Dataset
Lecture 2	Basics of Causal Inference: Inverse Probability Weighting Method	View HTML	Rmd
Lecture 3	Basics of Causal Inference: Outcome Regression Modelling	View HTML	Rmd
Lecture 4	Basics of Causal Inference: Doubly Robust Estimation	View HTML	Rmd
Lecture 5	Basics of Causal Inference: Bootstrap Confidence Intervals and Hypothesis Testing	View HTML	Rmd
Lecture 6	Basics of Causal Inference: Sensitivity Analysis With E-values	View HTML	Rmd

II. Supplemental Materials / Advanced Topics

Audience: Advanced Topics: graduate level

Material	Topic	HTML	Source
Supplement 1	Advanced Topic: Hypothesis Testing	View HTML	Rmd
Supplement 2	Advanced Topic: Logistic Regression	View HTML	Rmd
Supplement 3	Advanced Topic: Propensity Score	View HTML	Rmd
Supplement 4	Advanced Topic: Technical Details of the Lecture Course	View HTML	Rmd
Supplement 5	Advanced Topic: Semiparametric Efficiency Lower Bound	View HTML	Rmd