Course Description
Introduces students to statistical models and methods for the analysis of longitudinal data, including univariate and multivariate repeated measures analysis of variance, general linear model for correlated continuous data, generalized linear models, generalized estimating equations, and generalized linear mixed effects models.
Athena Title
Longitudinal Data Analysis
Prerequisite
BIOS 8020
Semester Course Offered
Offered fall
Grading System
A - F (Traditional)
Course Objectives
Students completing this course should be able to: 1. Prepare and interpret graphical displays of longitudinal data so as to justify model selection and diagnose model assumptions; 2. Evaluate modern statistical concepts such as general linear, marginal, random effects, and generalized linear models to make and defend scientific inferences for longitudinal data; 3. Describe the impact of temporal correlation among repeated measures on statistical inference; 4. Prepare concise descriptions of methods for longitudinal data analyses; 5. Synthesize results to support conclusions from longitudinal data analyses; 6. Describe how statistical software may be used to conduct the appropriate longitudinal data analyses.
Topical Outline
1. Introduction to modeling longitudinal data, exploring covariance structure 2. Univariate repeated measures analysis of variance 3. Multivariate repeated measures analysis of variance 4. General linear model 5. Random coefficient models 6. Linear mixed effects models 7. Generalized linear models 8. Generalized estimating equations 9. Generalized linear mixed effects models 10. Nonlinear mixed effects models
Syllabus