STATS C260
Causal Inference for Health Data
Statistics · 4 units · Graduate courses (200-299)
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.
Requisites
Official UCLA wording
Preparation: basics of probability theory and regression modelling.
BruinTree reads · Preparation
needs reviewconfidence 0.00 · from textBruinTree could not read this requirement — see UCLA’s wording above.
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Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.