Review of simple and multivariate regression models, and an overview of extensions of the classic linear regression model, including simple dichotomous dependent variable models, polytomous choice models, duration (survival) analysis, quantile regression, differences-in-differences analysis, panel data, propensity score adjustment methods, and instrumental variables estimators; focus is on review and replication of practical applications in the health services research literature. Prerequisites: PHPM 667 or equivalent Credits 3. 3 Lecture Hours.
Review of simple and multivariate regression models, and an overview of extensions of the classic linear regression model, including simple dichotomous dependent variable models, polytomous choice models, duration (survival) analysis, quantile regression, differences-in-differences analysis, panel data, propensity score adjustment methods, and instrumental variables estimators; focus is on review and replication of practical applications in the health services research literature. Prerequisites: PHPM 667 or equivalent Credits 3. 3 Lecture Hours.
