(1) Introduction to Longitudinal data Analysis
(a) Introduction and Examples
(b) Early origins of linear models for longitudinal data analysis
(2) Generalized Linear Models (GLM)
(a) Binomial Data: Logistic regression
(b) Count Data: Poisson Regression
(3) Generalized Estimating Equations (GEE)
(a) Quasi-likelihood
(b) First-order generalized estimating equations (GEE1)
(c) Second-order generalized estimating equations (GEE2)
(4) Special issues for GEE
(a) Ordinal data
(b) Missing data
(5) Linear mixed-effects models (LMM)
(a) Likelihood Inference for Linear Mixed Models
(b) Confidence Intervals and Hypothesis Tests