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HHS 526 – Linear Regression in Public Health (2)
Biostatistical tools for scientific applications in public health using linear regression analysis. Confounding, effect modification, variable selection, assessing model fit, observational studies, and exploratory data analysis. Emphasis on the use of statistical packages for analyzing public health data. This course is repeatable for a maximum of 4 credits. This course may be subject to Enforced Prerequisites that restrict registration into the course. Check the offerings below for more information.
For more information, contact OSU Ecampus at 800-667-1465 (option 1) or ecampus.ess@oregonstate.edu.
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| Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 202602 | 36993 | 400 | 2 | Branscum, A. | 0 | TBD | 30 | 30 | 3 | 3 | |
| Registration Restrictions Enforced Prereqs: H 524 [B-] Campus Restrictions: +DSC (Dist. Degree Corvallis Student) College Limitations: +23, +26 (PHHS, Hlth) | |||||||||||
| Class Notes: | |||||||||||
| Syllabus: Available in Canvas to students enrolled in this course. Or download a sample syllabus. | |||||||||||
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