HTH RS M 731 / Advanced Linear Models for Health Data

3 unit(s)

The course focuses on some advanced statistical techniques for the analysis of health studies that have continuous outcomes. Although these techniques are useful for many kinds of research, students interested in observational, repeated-measures, and longitudinal studies will find them especially helpful. The goal of the course is to give students the tools to develop multivariate linear models of health outcomes. The curriculum is divided into 3 modules: (1) fundamental topics in linear regression; (2) multilevel models and growth curve analysis for clustered and longitudinal data; and (3) structural equation modeling with latent variables. We take a conceptual, rather than mathematical, approach using a combination of lectures with problem-based discussion. Assignments emphasize computer analysis and interpretation of real data.