Agresti A. An Introduction to Categorical Data Analysis

Wiley, 1996. — ISBN: 0471113387.Categorical Response Data,
Sampling Models,
Inference for a Proportion,
Problems,
Two-Way Contingency Tables.
Probability Structure for Contingency Tables,
Comparing Proportions in Two-by-Two Tables,
The Odds Ratio,
Chi-Squared Tests of Independence,
Testing Independence for Ordinal Data,
Exact Inference for Small Samples,
Problems,
Three-Way Contingency Tables.
al Association,
Cochran-Mantel-Haenszel Methods,
Exact Inference About Conditional Associations*,
Problems,
Generalized Linear Models.
Components of a Generalized Linear Model,
Generalized Linear Models for Binary Data,
Generalized Linear Models for Count Data.
Poisson Regression,
Model Inference and Model Checking,
Fitting Generalized Linear Models*,
Problems,
Logistic Regression.
Interpreting the Logistic Regression Model,
Inference for Logistic Regression,
Model Checking,
Logit Models for Qualitative Predictors,
Multiple Logistic Regression,
Sample Size and Power for Logistic Regression*,
Exact Inference for Logistic Regression*,
Problems,
Loglinear Models for Contingency Tables.
Loglinear Models for Two-Way Tables,
Loglinear Models for Three-Way Tables,
Inference for Loglinear Models,
Loglinear Models for Higher Dimensions,
The Loglinear-Logit Connection,
Problems,
Building and Applying Logit and Loglinear Models.
Association Graphs and Collapsibility,
Modeling Ordinal Associations,
Tests of Conditional Independence,
Effects of Sparse Data,
Some Model-Fitting Details*,
Problems,
Multicategory Logit Models.
Logit Models for Nominal Responses,
Cumulative Logit Models for Ordinal Responses,
Paired-Category Logits for Ordinal Responses*,
Models for Matched Pairs.
Comparing Dependent Proportions,
Logistic Regression for Matched Pairs,
Symmetry and Quasi-Symmetry Models for Square Tables,
Comparing Marginal Distributions,
Analyzing Rater Agreement*,
Bradley-Terry Model for Paired Preferences*,
Problems,
A Twentieth-Century Tour of Categorical Data Analysis*.
The Pearson-Yule Association Controversy,
R. A. Fisher's Contributions,
Logistic Regression and Loglinear Models,
Later Developments,