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STAT 5835: Causal Inference
Introduction to causal inference, the science of drawing conclusions about cause-and-effect relationships from data. Topics include potential outcomes, randomized trials, causal graphical models, observational studies, instrumental variables, mediation and interference.
- Credits
- 3
- Offered
- Fall 2026
- Campuses
- Storrs
- Requirements
- Recommended preparation: Familiarity with probability theory and statistical inference; experience with R. Not open for credit to students who have passed STAT 5095 when offered as "Casual Inference."
Fall 2026 sections
Taught by Jiangchen Zhao and Ying Zhou.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 9:30AM - 12:30PM / Fr | Jiangchen Zhao, Ying Zhou | Storrs | AUST 313 | 14 of 25 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.