A Powerful Retrospective Multiple Variant Association Test for Quantitative Traits by Borrowing Strength from Complex Ge
High-throughput sequencing has often been used in pedigree-based studies to identify genetic risk factors associated with complex traits. The genotype data in such studies exhibit complex correlations attributed to both familial relation and linkage diseq
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Lanju Zhang Ding-Geng (Din) Chen Hongmei Jiang Gang Li Hui Quan Editors
Contemporary Biostatistics with Biopharmaceutical Applications
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
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.
More information about this series at http://www.springer.com/series/13402
Lanju Zhang • Ding-Geng (Din) Chen Hongmei Jiang • Gang Li • Hui Quan Editors
Contemporary Biostatistics with Biopharmaceutical Applications
123
Editors Lanju Zhang Data and Statistical Sciences, AbbVie Inc. North Chicago, IL, USA Hongmei Jiang Department of Statistics Northwestern University Evanston, IL, USA
Ding-Geng (Din) Chen School of Social Work University of North Carolina Chapel Hill, NC, USA Gang Li R&D Janssen Pharmaceuticals Raritan, NJ, USA
Hui Quan Sanofi US Bridgewater, NJ, USA
ISSN 2199-0980 ISSN 2199-0999 (electronic) ICSA Book Series in Statistics ISBN 978-3-030-15309-0 ISBN 978-3-030-15310-6 (eBook) https://doi.org/10.1007/978-3-030-15310-6 © Springer Nature Switzerland AG 2019 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. This Springer imprint is published by the registered company Springer Nature Switzerland AG. The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
This book is a collection of the most significant research papers presented at the 26th ICSA Applied Statistics Symposium. Held on June 25–28, 2017, at
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