This volume shows how odds ratios can be used as a framework for understanding log-linear models. Tightly organized, the book moves systematically from the paradigmatic 2x2 case to more complicated cases. Author Tamas Rudas carefully defines the odds ratio and demonstrates how it is a measure of association for tabular analysis. Throughout the book, Rudas provides real examples, including those from the famous Stouffer data on American soldiers in World War II. 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.
In this chapter, contingency tables of arbitrary dimension will be investigated with the restriction that all variables are assumed to be binary, or dichotomous. The concept of odds ratio, which proved to be a useful tool in analyzing two-dimensional tables, will be generalized to higher dimensional ...