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BST 213 - Applied Regression for Clinical Research or return to Course Catalog Search

190028 – Section 1   

SchoolDepartmentFaculty
Harvard T.H. Chan School of Public HealthBiostatisticsE. Orav
TermDay and TimeLocation
Fall (Full Semester) 2017  (show academic calendar)MW   8:00 a.m. - 9:30 a.m.Kresge G1 (HSPH)
Credits
5  (show credit conversion for other schools)
Credit Level
Graduate

Description
This course will introduce students involved with clinical research to the practical application of multiple regression analysis. Linear regression, logistic regression and proportional hazards survival models will be covered, as well as general concepts in model selection, goodness-of-fit, and testing procedures. Each lecture will be accompanied by a data analysis using SAS and a classroom discussion of the results. The course will introduce, but will not attempt to develop the underlying likelihood theory. Background in SAS programming ability required.Course Notes:1) Lab or section times to be announced at first meeting.2) Section 2 of this course is online and only available to Summer Only EPI-SM1 students and Summer-Only MPH students.Course Prerequisites: BST201 or ID201 or (BST202 and BST203) or [BST206 and (BST207 or BST208)]. Concurrent enrollment allowed.SECTION 2 IS OFFERED PASS/FAIL AND ORDINAL ONLYFormerly BIO213

Prerequisite(s)
HSPH: BIO213

 
Cross Registration
Eligible for cross-registration
With permission of instructor/subject to availability

MIT students please cross register from MIT's Add/Drop application.

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