STAT 566

Causal Modeling
4.0 credits

Course Description

Construction of causal hypotheses. Theories of causation, counterfactuals, intervention vs. passive observation. Contexts for causal inference: randomized experiments; sequential randomization; partial compliance; natural experiments, passive observation. Path diagrams, conditional independence, and d-separation. Model equivalence and causal under-determination. Prerequisite: course in statistics, SOC 504, SOC 505, SOC 506, or equivalent. Offered: jointly with CS&SS 566.

Syllabus Downloads

Upcoming Time Schedule

Spring, 2023

SLN/Section Time Location Instructor
20189 A
Open

T Th 2:30PM - 4:20PM

THO 134

OFFERED VIA SYNCHRONOUSLY