<p>Lecture, three hours; discussion, one hour. Requisite: course 100 or 120 or Statistics 100A and 100B. 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.</p>

Biostatistics

Jonathan and Karin Fielding School of Public Health

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BIOSTAT 125 - The Science of Why: Causal Inference for Public Health

The Science of Why: Causal Inference for Public Health

Locate, use, evaluate, and synthesize public health information

Improve critical thinking and creativity, research skills, and systems thinking

Communicate public health information, in both oral and written forms, through a variety of media and to diverse audiences

General Catalog

The Science of Why: Causal Inference for Public Health

BIOSTAT 125

4 units