Statistical Analysis with Measurement Error or Misclassification Str
This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies. Many measurement error and misclassific
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Grace Y. Yi
Statistical Analysis with Measurement Error or Misclassification Strategy, Method and Application
Springer Series in Statistics Advisors: P. Bickel, P. Diggle, S.E. Feinberg, U. Gather, S. Zeger
More information about this series at http://www.springer.com/series/692
Grace Y. Yi
Statistical Analysis with Measurement Error or Misclassification Strategy, Method and Application
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Grace Y. Yi Department of Statistics and Actuarial Science University of Waterloo Waterloo, Canada
ISSN 0172-7397 ISSN 2197-568X (electronic) Springer Series in Statistics ISBN 978-1-4939-6638-7 ISBN 978-1-4939-6640-0 (eBook) DOI 10.1007/978-1-4939-6640-0 Library of Congress Control Number: 2016951935 © Springer Science+Business Media, LLC 2017 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. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Science+Business Media LLC The registered company address is: 233 Spring Street, New York, NY 10013, U.S.A.
To my husband, Wenqing, my children, Morgan and Joy, and my parents, Liangyu and Zhizhen
Foreword
This book is an authoritative addition to the literature on measurement error and misclassification. I like to think of the field more broadly as statistical analysis when variables are subject to uncertainty of measurement, although the context of measurement error and misclassification is different from the context of uncertainty quantification in applied mathematics and computer modeling. This book differs considerably from previous books by Fuller (1987), Carroll et al. (1995, 2006), Gustafson (2004), and Buonaccorsi (2010) because of its comprehensive overview of topics in lifetime data analysis, often called survival analysis. If they touch at all on this important topic, which has quite a large literature, they touch it only very lightly. Grace Yi
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