# Categorical Data Analysis ## Chapter 1 - Distributions and Inference for Categorical Data ## Chapter 2 - Describing Contingency Tables ## Chapter 3 - Inference for Contingency Tables ## Chapter 4 - Introduction to Generalized Linear Models ## Chapter 5 - Logistic Regression ## Chapter 6 - Building and Applying Logistic Regression Models ## Chapter 7 - Logit Models for Multinomial Responses ## Chapter 8 - Loglinear Models for Contingency Tables ## Chapter 9 - Building and Extending Loglinear and Logit Models ## Chapter 10 - Models for Matched Pairs ## Chapter 11 - Analyzing Repeated Categorical Response Data ## Chapter 12 - Random Effects, GLMMs for Categorical Responses ## Chapter 13 - Other Mixture Models for Categorical Data ## Chapter 14 - Asymptotic Theory for Parametric Models ## Chapter 15 - Alternative Estimation Theory for Parametric Models ## Chapter 16 - Historical Tour of Categorical Data Analysis