STA 670 Categorical Data Analysis
Course Outline
Tentative Topics	Reading	Homework
Introduction	1-12 (CDA:15-19)	1-5,6(a),8,9,11
Two-Way Contingency Tables
Table structure	16-19	30
Comparing proportions	19-22
Odds ratio	22-27	1-5,8,9(a,b),10
Chi-squared tests	27-34	11,13,15,16,31-34
Tests for ordinal data	34-39	20,29
Exact tests	39-44	23,25
Three-way Contingency Tables
Partial Association	53-60	1,3,4-7
Cochran-Mantel-Haenszel tests	60-63	8-10
Generalized Linear Models
Components of GLMs	71-74	1
GLMs for binary data	74-78	2(logistic),3
GLMs for count data	80-87	6,8
Inference and model checking	88-93	9,11
Fitting GLMs	93-97
Logistic Regression
Interpreting logistic regression	103-108	1-3,41,44
Inference for logistic regression	108-111	4,8,15
Model checking	111-118	6,7,10
Models for qualitative predictors	118-122	11-13,20
Multiple logistic regression	122-129	21,23(a,b),24,30
Sample size and power	130-132	35-37
Loglinear models
Loglinear models for two-way tables	145-150	1
Loglinear models for three-way tables	150-154	3-5
Inference for loglinear models	154-158	6,8,9(a,b)
Loglinear models for higher dimensions	158-162	13
Connection between logit and loglinear models	162-167	14,15,17,19
Multicategory Logit Models
Logit models for nominal responses	205-211	1,3,4
Cumulative logit model for ordinal responses	211-216	6,8,9,20,21
Models for Matched Pairs
Comparing dependent proportions	226-229	1,2,4,6,9(a-d)
	229-233