BST 226
Applied Longitudinal Analysis
This course covers modern methods for the analysis of repeated measures, correlated outcomes and longitudinal data, including the unbalanced and incomplete data sets characteristic of biomedical research. Topics include an introduction to the analysis of correlated data, analysis of response profiles, fitting parametric curves, covariance pattern models, random effects and growth curve models, and generalized linear models for longitudinal data, including generalized estimating equations…
Topics
- an introduction to the analysis of correlated data
- analysis of response profiles
- fitting parametric curves
- covariance pattern models
- random effects and growth curve models
- and generalized linear models for longitudinal data
- including generalized estimating equations…
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Public 2026-2027 offerings