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, the general concept of conditional odds ratios introduced in Chapter 3 is extended to polytomous variables. This is done in Section A by using the approaches of local and spanning cell odds ratios already considered in Chapter 2. Section B discusses variation independence of the odds ratios and ...