Causal Inference for Health Data

4 units · Graduate courses (200-299)

Lecture, three hours. Preparation: basics of probability theory and regression modelling. Covers the foundations of the graphical approach to causal inference, with a specific focus on applications to health data, analyzing a range of real-world datasets. Concurrently scheduled with course C160. S/U or letter grading.