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HHS 527 – Logistic Regression in Public Health (2)
Biostatistical tools for scientific applications in public health using logistic regression analysis. Confounding, effect modification, variable selection, assessing model fit, exploratory data analysis, and observational studies. Emphasis on the use of statistical packages for analyzing public health data. 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Sp25 | 57137 | 400 | 2 | Staff | Online | Cancelled | 0 | 0 | 0 | 0 | |
Registration Restrictions Enforced Prereqs: H 524 [B-] | |||||||||||
Class Notes: | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or download a sample syllabus. |
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