Statistical Causal Inferences and Their Applications in Public Health Research
This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, m
- PDF / 3,642,709 Bytes
- 324 Pages / 439.42 x 683.15 pts Page_size
- 90 Downloads / 205 Views
Hua He Pan Wu Ding-Geng (Din) Chen Editors
Statistical Causal Inferences and Their Applications in Public Health Research
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
Hua He • Pan Wu • Ding-Geng (Din) Chen Editors
Statistical Causal Inferences and Their Applications in Public Health Research
123
Editors Hua He Department of Epidemiology School of Public Health and Tropical Medicine Tulane University New Orleans, LA, USA
Pan Wu Christiana Care Health System Value Institute Newark, DE, USA
Ding-Geng (Din) Chen School of Social Work and Department of Biostatistics University of North Carolina Chapel Hill, NC, USA
ISSN 2199-0980 ISSN 2199-0999 (electronic) ICSA Book Series in Statistics ISBN 978-3-319-41257-3 ISBN 978-3-319-41259-7 (eBook) DOI 10.1007/978-3-319-41259-7 Library of Congress Control Number: 2016952546 © Springer International Publishing Switzerland 2016 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 This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
To my parents, my husband Wan Tang, and my children Yi, Wenwen, Susan, and Jacob, for their eternal love and my eternal gratitude Hua He, Ph.D. To my parents, my sister Bei, and my wife Liang, for their love, support, and encouragement Pan Wu, Ph.D. To my parents and parents-in-law, who value higher education and hard work, and to my wife, Ke; my son, John D. Chen; and my daughter, Jenny K. Chen, for their love and support Ding-Geng (Din) Chen, Ph.D.
Preface
This book originated from a series of discussions among the editors when we were all at the University of Rochester, NY, before 2015. At that time, we had a research discussion group under the leadership of Professor
Data Loading...
