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Odds ratios in the analysis of contingency tables /
Tamás Rudas.
imprint
Thousand Oaks, Calif. : Sage Publications, c1998.
description
vi, 79 p. ; 22 cm.
ISBN
0761903623 (pbk. : acid-free paper)
format(s)
Book
Holdings
More Details
imprint
Thousand Oaks, Calif. : Sage Publications, c1998.
isbn
0761903623 (pbk. : acid-free paper)
catalogue key
1632472
 
Includes bibliographical references (p. 77-78).
A Look Inside
Summaries
Bowker Data Service Summary
In this volume the author shows how odds ratios can be used as a framework for understanding log-linear models. The book moves from paradigmatic 2x2 case to more complicated cases. The author also carefully defines the odds ratio.
Main Description
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.
Main Description
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.
Main Description
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, you will learn not only how these models are related, but also additional interpretations of these models, not usually covered in other texts.
Main Description
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, you will learn not only how these models are related, but also additional interpretations of these models, not usually covered in other texts.
Main Description
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.
Table of Contents
Introduction
The Odds Ratio in 2x2 Tables
The Odds Ratio in IxJ Tables
2k Tables
General Tables
Conclusions
Table of Contents provided by Ingram. All Rights Reserved.

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