BSTA 512 Linear Models
Instructor(s): Thuan Nguyen, PhD
Course Description This course is the second course in the required sequence for Biostatistics Certificate Program and the Epi/Biostat track in the Oregon MPH program. This course expands on the analyses techniques presented in BSTA 511. In particular, we focus on multiple regression analysis and various analysis of variance techniques ending with a conceptual overview of techniques for correlated continuous outcomes (i.e., random effects and repeated measures). Classes consist of lecture, examples of data analysis and Stata and/or R computer application techniques. Written homework assignments and data analysis projects are used to assist in mastery of the analysis methods.
Term Offered Winter
Prerequisite At least a B- in BSTA 511 or PHPM 525 or equivalent. (Any equivalent coursework must be evaluated by the biostatistics faculty. Please submit a syllabus and transcript reflecting the equivalent work taken in the past five years to firstname.lastname@example.org.)
PHPM Cross-Listing PHPM 526 (Biostatistics II)