BioStat 571 - Winter 2010 - Tentative Outline of Lectures

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