This volume shows how odds ratios can be used as a framework for understanding log-linear models. Moving systematically from the paradigmatic 2x2 case to more complicated cases, the author defines the odds ratio and demonstrates how it is a measure of association for tabular analysis. Real-world examples are consistently provided throughout the volume. By presenting categorical data models in a unified framework, readers will learn not only how these models are related, but also additional interpretations of these models, not usually covered in other texts.