Advanced Statistical Methods for Analyzing Public Health and Health Systems Data

This course will focus on statistical methods for analyzing and drawing inferences from longitudinal data, time-to-event data and incomplete/missing data, with emphasis on their application for public health sciences. Topics include linear and generalized linear regression models (for correlated data), and imputation techniques for incomplete correlated and multilevel data. Students will learn appropriate methods to implement (particularly through the use of software) and interpret analyses of various types of complex public health data.