Date 
Lecture and Resources 
Homework/Deadlines 
Review & Categorical Basics 
Aug 21 
Distributions for Categorical Data; Confidence Intervals 

Aug 23 
Binomial, Multinomial & Poisson; Types of Sampling 

Aug 28 
Lab: Contingency Tables & Graphical Displays 

Aug 30 
Summary Statistics for Contingency Tables: Odds Ratios, & Mosaics 
Assignment I, due Sep 13 
Sep 4 
Tests for independence, Local Odds Ratios; Concordance and Discordance; 

Theory of Generalized Linear Models 
Sep 6 
Introduction to GLMs; GLMs for Binomial Response 

Sep 11 
Diagnosing GLMs; Fitting GLMS: Newton Raphson Deviance 

Sep 13 
Lab meeting 
Assignment II, due Sep 27 
Binomial & Multinomial Response 
Sep 18 
Inference for Logistic Regression 

Sep 20 
Model selection & diagnostics for Logistic regression 

Sep 25 
Multinomial Logistic Regression 

Sep 27 
Proportional Odds Logistic Regression 

Loglinear Models 
Oct 2 
Loglinear Models 

Oct 4 
Midterm I 

Oct 9 
Lab: Loglinear Models 

Oct 11 
Relationship between Loglinear Models and Logistic Regression, Association Models 
Assignment III, due Oct 25 
Oct 16 
Association Models 

Oct 18 
Poisson Rate Regression 
Project Information 
Matched Pairs Models 
Oct 23 
Ordinal and Nominal Responses in Matched Pair Models 

Oct 25 
Symmetry, QuasiSymmetry & QuasiIndependence 
Oct 30 
Lab: Models for Squared Data 

Nov 1 
Bradley Terry Models 

Models for Longitudinal Data 
Nov 6 
Repeated Measures Models 

Nov 8 
Project Discussion in the lab 

Other Topics 
Nov 13 
Classification Trees 
Final Project: Draft Writeup due 
Nov 15 
Forests, Neural Networks 

Nov 20/22 
Thanksgiving Week 

Nov 27 
Lab: Repeated Measures: GLMM 

Nov 29 
Lab: Repeated Measures 

Dec 4 
Project Presentations 
Give Feedback 
Dec 6 
Project Presentations
 Give Feedback 
Dec 14 
Final Exam Time: 7:30 am  9:30 am 
