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HomeMIT 6.S897 Machine Learning for Healthcare, Spring 2019Lecture 14: Causal Inference, Part 1
Lecture 14: Causal Inference, Part 1
1:18:43
Prof. Sontag discusses causal inference, examples of causal questions, and how these guide treatment decisions. He explains the Rubin-Neyman causal model as a potential outcome framework.
Speaker: David Sontag
Lecture 14: Causal Inference, Part 1 slides (PDF - 2.2MB)