Biostatistics 291 -- Statistical Methods for Causality
Course Description: Theory of directed acyclic graph models. Identifiability of causal contrasts. Theory and applications of locally semiparametric efficient doubly-robust estimation in two models for counterfactual variables: marginal structural models and structural nested models.

This class is at the Graduate level
Instructor: Andrea Gloria Rotnitzky (Public Health) and James M. Robins (Public Health)
Prerequisites: BIO 231, or permission of instructor required.

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