Introduction to categorical data analysis, An

Analyzing contingency tables.
Generalized linear models.
Logistic regression.
Building and applying binary regression models.
Multicategory logit models.
Loglinear models for contingency tables and counts.
Models for matched pairs.
Marginal modeling of correlated, clustered responses.
Random effects : generalized linear mixed models.
Classification and smoothing.
A historical tour of categorical data analysis.