Lecture Notes
Chapter 1
Distributions and Inference for Categorical Data
Chapter 1 (cont)
Distributions and Inference or Categorical Data
Chapter 2
Describing Contingency Tables
Chapter 2 (cont)
Describing Contingency Table
Chapter 3
Inference for Two-way Contingency Tables
Chapter 3 (cont)
Inference for Two-way Contingency Tables
Chapter 4
Introduction to Generalized Linear Models
Chapter 4 (cont)
Introduction to Generalized Linear Models
Chapter 5
Logistic Regression
Chapter 5 (cont)
Logistic Regression
Chapter 6
Building, Checking, and Applying Logistic Regression Models
Chapter 6 (cont)
Building, Checking, and Applying Logistic Regression Models
Chapter 7
Alternative Modeling of Binary Response Data
Chapter 8
Models for Multinomial Responses
Chapters 9 and 10
Loglinear Models for Contingency Tables
American Statistician article
on screening multidimensional tables.
Chapter 11
Models for Matched Pairs
Chapter 12
Clustered Categorical Data: Marginal and Transitional Models
Chapter 13
Clustered Categorical Data: Random Effects Models
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