Innovative Statistical Methods for Public Health Data
The book brings together experts working in public health and multi-disciplinary areas to present recent issues in statistical methodological development and their applications. This timely book will impact model development and data analyses of public he
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Ding-Geng (Din) Chen Jeffrey Wilson Eds.
Innovative Statistical Methods for Public Health Data
ICSA Book Series in Statistics Series Editors Jiahua Chen Department of Statistics University of British Columbia Vancouver Canada Ding-Geng (Din) Chen University of North Carolina Chapel Hill, NC, USA
More information about this series at http://www.springer.com/series/13402
Ding-Geng (Din) Chen • Jeffrey Wilson Editors
Innovative Statistical Methods for Public Health Data
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Editors Ding-Geng (Din) Chen School of Social Work University of North Carolina Chapel Hill, NC, USA
ISSN 2199-0980 ICSA Book Series in Statistics ISBN 978-3-319-18535-4 DOI 10.1007/978-3-319-18536-1
Jeffrey Wilson Arizona State University Tempe, AZ, USA
ISSN 2199-0999 (electronic) ISBN 978-3-319-18536-1 (eBook)
Library of Congress Control Number: 2015946563 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)
To my parents and parents-in-law who value higher-education and hard-working, and to my wife, Ke, my son, John D. Chen, and my daughter, Jenny K. Chen, for their love and support. This book is also dedicated to my passion to the Applied Public Health Statistics Section in American Public Health Association! Ding-Geng (Din) Chen, Ph.D. To my grandson, Willem Wilson-Ellis, and my three daughters, Rochelle, Roxanne, and Rhonda for their continued love and support. To the graduate statistics students at Arizona State University present and past for their direct and indirect support. Jeffrey Wilson, Ph.D.
Preface
This book was originated when we were become part of the leadership of the Applied Public Health Statistics Section (https://www.apha.org/apha-communities/ member-sections/applied-public-health-statistics) in the American Public Health Association
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