Competing Risks and Survival Analysis
The analysis of time-to-event data in the presence of competing risks is part of many studies today. However, the impact of the interrelationship between the competing risks on the interpretation of the results seems to be unclear to many researchers, how
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Developments in Statistical Evaluation of Clinical Trials
Developments in Statistical Evaluation of Clinical Trials
Kees van Montfort • Johan Oud • Wendimagegn Ghidey Editors
Developments in Statistical Evaluation of Clinical Trials
123
Editors Kees van Montfort Department of Biostatistics Erasmus Medical Center Rotterdam The Netherlands
Johan Oud Behavioural Science Institute University of Nijmegen Nijmegen The Netherlands
Wendimagegn Ghidey Department of Hematology Erasmus Medical Center Rotterdam The Netherlands
ISBN 978-3-642-55344-8 ISBN 978-3-642-55345-5 (eBook) DOI 10.1007/978-3-642-55345-5 Springer Heidelberg New York Dordrecht London Library of Congress Control Number: 2014951708 © Springer-Verlag Berlin Heidelberg 2014 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. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher’s location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. 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. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Over the last few decades the role of statistics in the evaluation and interpretation of clinical data has become more and more important. As a result the standards of clinical study design, conduct and interpretation have been advanced. In this book statistical considerations in data analysis as a basis for deriving an accurate clinical interpretation are elaborated. Most often it is the physician who decides whether to prescribe a specific drug for a specific patient in a
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