Syllabus
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About Stat 156/256
This course provides an introduction to causal inference using the potential outcomes framework and causal diagrams. We will cover topics such as randomized experiments, observational studies, instrumental variables, and mediation analysis. We will discuss applications of these methods to a variety of fields such as medicine and public policy. The course emphasizes both theory and data analysis. Lectures present concepts and methods, and lab sections focus on applications, derivations, and worked problems often using the statistical language R.