STATS C260 · STAT C260Causal 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.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
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.
- · could not read "basics of probability theory" (no course number found)
- · could not read "regression modelling" (no course number found)
- · no course reference could be read from this requisite
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.