Logistic Regression A Self-Learning Text
This text on logistic regression methods contains the following eight chapters: 1 Introduction to Logistic Regression 2 Important Special Cases of the Logistic Model 3 Computing the Odds Ratio in Logistic Regression 4 Maximum Likelihood Techniques: An Ove
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David G. Kleinbaum
LOGISTIC •••••••••••••••••••••••••••••••••••••••••••••
A Self-Learning Text
Springer
David G. Kleinbaum Department of Epidemiology Emory University Atlanta, GA 30333 USA Series Editors
K. Dietz
M. Gail National Cancer Institute Rockville, MD 20892 USA
K. Krickeberg
B. Singer Department of Epidemiology and Public Health Yale University New Haven, CT 06510 USA
Institut für Medizinische Biometrie Universität Tübingen West Bahnhotstrasse 55 7400 Tübingen Germany 3 Rue de L'Estrapade 75005 Paris France
Library of Congress Cataloging-in-Publication Data KJeinbaum, David G. Logistic regression: a self-learning text / David G. KJeinbaum. p. cm. Includes bibliographical references and index. ISBN 978-1-4757-4110-0 ISBN 978-1-4757-4108-7 (eBook) DOI 10.1007/978-1-4757-4108-7 1. Medicine--Research--Statistical methods. 2. Regression analysis. 3. Logistic distribution. I. Title. R853.S7K54 1992 610'.72--dc20 93-27484 Printed on acid-free paper.
© 1994 Springer Science+Business Media New York Originally published by Springer-Verlag New York, Inc in 1994. Softcover reprint of the hardcover 1st edition 1994
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To my daughter, Ruth Toby Kleinbaum
Preface This text on logistic regression methods contains the following eight chapters: 1 2 3 4 5 6 7 8
Introduction to Logistic Regression Important Special Cases of the Logistic Model Computing the Odds Ratio in Logistic Regression Maximum Likelihood Techniques: An Overview Statistical Inferences Using Maximum Likelihood Techniques Modeling Strategy Guidelines Modeling Strategy for Assessing Interaction and Confounding Analysis of Matched Data Using Logistic Regression
Each ch
