Students will be introduced to advanced empirical methods to analyze unique data features in health services research (HSR). It provides the foundation for applying commonly used econometric models to conduct health services and policy research using secondary datasets. The course may cover the following topics: Generalized Linear Model, Two-Part Model, Count Models, Fixed Effects, Random effects, Multilevel/hierarchical Models, Generalized Estimating Equations (GEE), Survey data analysis, and machine learning algorithms with HSR applications.