Ecampus Schedule of Classes - All Terms
ST 525 – Applied Survival Analysis (3)
Statistical methods for analyzing survival data or time-to-event data, which may be censored and/or truncated. Specific topics can vary term to term, and could include Kaplan-Meier estimator; K-sample hypothesis tests for survival data; Accelerated failure time model; Cox proportional hazard regression model. 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.
Continue to Registration.
Term | CRN | Sec | Cr | P/N | Instructor | Type | Status | Cap | Avail | WL Cap | WL Avail |
---|---|---|---|---|---|---|---|---|---|---|---|
F24 | 13523 | 400 | 3 | Gray, M. | Online | Open | 35 | 30 | 10 | 10 | |
Registration Restrictions Enforced Prereqs: ST 516 [C] and ST 517 [C] and ST 518 [C] Major Restrictions: -6160, -CG17 (Data Analytics, Data Analytics) | |||||||||||
Class Notes: Data Analytics students register in Section 401. No-show-drop. | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.) | |||||||||||
F24 | 15278 | 401 | 3 | Gray, M. | Online | Open | 40 | 29 | 10 | 10 | |
Registration Restrictions Enforced Prereqs: ST 516 [C] and ST 517 [C] and ST 518 [C] Major Restrictions: +6160, +CG17 (Data Analytics, Data Analytics) | |||||||||||
Class Notes: No-show-drop. | |||||||||||
Syllabus: Available in Canvas to students enrolled in this course. Or contact instructor to request syllabus. (Note: An ONID account is required to view OSU's online directory.) |
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Currently it's fall term. See academic calendar for our quarter term schedule.
Winter term starts Jan. 6, 2025.
Spring term starts March 31, 2025.