BIOSTAT 125The Science of Why: Causal Inference for Public Health
Biostatistics · 4 units · Undergraduate upper division (100-199)
Introduction to the foundations of causal inference in public health and medical sciences, focusing on the distinction between association and causation. Topics include critical evaluation of causal claims, experimental and observational study designs, causal diagrams, identification strategies, and the application and evaluation of causal inference foundational concepts in public health and medical research.
P/NP or letter grading.
When it runs
- Spring 2026
- Spring 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisite: course 100 or 120 or Statistics 100A and 100B.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOSTAT 125
- BIOSTAT 100Introduction to Biostatistics
- BIOSTAT 120Biostatistics in Public Health
- STATS 100AIntroduction to Probability
- STATS 100BIntroduction to Mathematical Statistics
4 direct requisites. Showing 18 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
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.