| Date | Lecture | ||
|---|---|---|---|
| PART I - Generalized Linear Models | |||
| 1 | Mon Jan 4 | Overview / examples / issues | |
| 2 | Wed Jan 6 | GLMs & likelihood theory | |
| 3 | Fri Jan 8 | Multinomial models: POM | |
| 4 | Mon Jan 11 | Multinomial models: CRM | |
| 5 | Wed Jan 13 | Overdispersion (semi-parametric) | |
| 6 | Fri Jan 15 | Quasilikelihood & estimating functions | |
| 7 | Mon Jan 18 | HOLIDAY - No Class | |
| 8 | Wed Jan 20 | Empirical variance estimates & QL inference | |
| 9 | Fri Jan 22 | Overdispersion (parametric models) | |
| PART II - General Linear Model for Correlated Continuous Data | |||
| 10 | Mon Jan 25 | General linear model, balanced data | |
| 11 | Wed Jan 27 | Weighted least squares & EEs | |
| 12 | Fri Jan 29 | Models & estimation for variance components | |
| 13 | Mon Feb 1 | Experimental design & classical ANOVA methods | |
| 14 | Wed Feb 3 | General linear models for unbalanced data | |
| 15 | Fri Feb 5 | Maximum likelihood, restricted maximum likelihood | |
| 16 | Mon Feb 8 | Linear mixed models | |
| 17 | Wed Feb 10 | Prediction of random effects | |
| 18 | Fri Feb 12 | Longitudinal data analysis | |
| 19 | Mon Feb 15 | HOLIDAY -- No Class | |
| PART III - Correlated Discrete Data | |||
| 20 | Wed Feb 17 | Diagnostics for general linear models | |
| 21 | Fri Feb 19 | Marginal, conditional & transition models | |
| 22 | Mon Feb 22 | Generalized estimating equations (GEE) | |
| 23 | Wed Feb 24 | Extensions of GEE & association models | |
| 24 | Fri Feb 26 | Generalized linear mixed models (GLMMs) | |
| 25 | Mon Mar 1 | Conditional likelihood for GLMMs | |
| 26 | Wed Mar 3 | GLMMs vs marginal models | |
| 27 | Fri Mar 5 | Transition models | |
| 28 | Mon Mar 8 | Time-dependent covariates | |
| 29 | Wed Mar 10 | Missing data (drop-out) | |
| 30 | Fri Mar 12 | Summary | |