Modeling Binary Correlated Responses using SAS, SPSS and R
Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that ar
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Jeffrey R. Wilson Kent A. Lorenz
Modeling Binary Correlated Responses using SAS, SPSS and R
ICSA Book Series in Statistics Series Editors Jiahua Chen Department of Statistics University of British Columbia Vancouver Canada Ding-Geng (Din) Chen Wallace H. Kuralt Distinguished Professor Director of Statistical Development and Consultation School of Social Work, University of North Carolina at Chapel Hill, NC, USA
More information about this series at http://www.springer.com/series/13402
The ICSA Book Series in Statistics showcases research from the International Chinese Statistical Association that has an international reach. It publishes books in statistical theory, applications, and statistical education. All books are associated with the ICSA or are authored by invited contributors. Books may be monographs, edited volumes, textbooks and proceedings.
Jeffrey R. Wilson • Kent A. Lorenz
Modeling Binary Correlated Responses using SAS, SPSS and R
Jeffrey R. Wilson Department of Economics W.P. Carey School of Business Arizona State University Tempe, AZ, USA
ISSN 2199-0980 ICSA Book Series in Statistics ISBN 978-3-319-23804-3
Kent A. Lorenz School of Nutrition & Health Promotion Arizona State University College of Health Solutions Phoenix, AZ, USA
ISSN 2199-0999 (electronic)
ISBN 978-3-319-23805-0
(eBook)
DOI 10.1007/978-3-319-23805-0 Library of Congress Control Number: 2015947790 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2015 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper Springer International Publishing AG Switzerland is part of Springer Science+Business Media (www.springer.com)
This book is dedicated to my grandson, Willem Wilson-Ellis, my three daughters, Rochelle, Roxanne, and Rhonda, and all my statistics students past and present at Arizona State University — Jeffrey R. Wilson My parents, Rose and Arnold, and all my family and friends — Kent A. Lorenz
Preface
The main
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