Analytic Methods for Epidemiology

EPI 522 Subject & Catalog Number

Description

Course Description
This course will cover a wide variety of methods used to analyze epidemiologic data. It will start with a brief review of the basic principles of causal inference to distinguish causal effects from measures of association. This will provide a basis for introducing regression-based methods to control for confounding, including logistic regression and propensity score analysis. The course will also cover survival analysis and Cox proportional hazards regression for time-to-event data, methods for missing data, and methods for developing and validating prediction rules based on regression models. Finally, the course will consider a number of extensions of logistic regression, including conditional logistic regression, ordinal logistic regression, multinomial logistic regression, and logistic regression for longitudinal and cluster-correlated data. You will learn to implement these analytic methods using the Stata statistical software package, and you will apply these methods to a research question of your own interest by working on a group project with a publicly-available dataset.

Course Restricted: Course open to MPH-EPI students only

Not available for Cross Registration
 
Enrollment Requirements Corequisite: ID207