PH 6450 - Regression Modeling in Public Health

(4 credits)

This course will cover regression modeling, emphasizing public health applications. Linear and generalized linear (e.g., logistic, poisson) regression models will be covered, as well as techniques for non-independent data (GEE, random effects models). Model fit diagnostics and assumption checking will be emphasized throughout. The statistical software, R, will be used.

Prerequisite(s): PH 640 or equivalent or instructor permission.

Comments: Formerly PH 645.

Course revisions made after the Graduate Catalog publication date will be posted in the Graduate Catalog Addendum.