Advanced Applied Linear Modeling
In this course, we will learn to apply Advanced Statistical Modeling techniques including Multiple and Logistic Regression, Generalized Linear Models (GLM), multivariate analysis of variance (MANOVA), analysis of covariance (ANCOVA) and other techniques to the field of Public Health broadly defined. Through readings, lectures, discussions, and hands on work, we will learn to use and critically think about techniques as well as be aware of limitations when dealing with real world problems. This class is directed towards epidemiology and biostatistics students in the MPH program who need to use statistical methods to answer substantive questions of interest. The course will focus on problem solving and decision-making skills to choose a statistical approach appropriate to the research question, understand the limitations of that approach given your data, interpreting your results correctly, and reaching sound conclusions about the substantive question at hand.
Prerequisites & course information
Credit 3 units. Typical periods offered: Spring
Sources
- Course catalogue โ2026โ2027