Advanced Regression Models

Graduate / Professional

This course provides a focused examination of the theory and application behind linear regression. Topics include linear regression, estimation, hypothesis testing, regression diagnostics, analysis of variance, adjusting for covariates, transformations, missing data, and generalized linear models. R and SAS software is used for analysis of data. Prerequisites: EPH 505 and BIS 505 or equivalents, algebra, and calculus. T 10am-11:50am, F 11am-11:50am