36-732 Modern Causal Inference

6 units, Carnegie Mellon University

This course will provide an in-depth look at modern causal inference. Topics will include: optimal treatment regimes, mediation, principal stratification, stochastic interventions, accounting for complex confounding and exposures, and methods for efficient nonparametric estimation. Some background in mathematical statistics is advised.

Prerequisites: none listed

Offered: Fall 2026, Fall 2025

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