Meta-Analysis with R
This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R
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Guido Schwarzer James R. Carpenter Gerta Rücker
MetaAnalysis with R
Use R!
Series editors Robert Gentleman Kurt Hornik Giovanni Parmigiani
More information about this series at http://www.springer.com/series/6991
Guido Schwarzer • James R. Carpenter • Gerta RRucker
Meta-Analysis with R
123
Guido Schwarzer Institute for Medical Biometry and Statistics Medical Center – University of Freiburg Freiburg, Germany
James R. Carpenter MRC Clinical Trials Unit, London and London School of Hygiene and Tropical Medicine London, United Kingdom
Gerta RRucker Institute for Medical Biometry and Statistics Medical Center – University of Freiburg Freiburg, Germany
ISSN 2197-5736 Use R! ISBN 978-3-319-21415-3 DOI 10.1007/978-3-319-21416-0
ISSN 2197-5744
(electronic)
ISBN 978-3-319-21416-0
(eBook)
Library of Congress Control Number: 2015949262 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)
Preface
Meta-analysis plays a key role in evidence synthesis in many research disciplines, not least the social sciences, medicine and economics. The aim of this book is to equip those involved in such work (who are often not trained statisticians) to use R for meta-analysis, and thus promote both the use of R and the latest statistical methods in this area. The attractions of R in this context (besides its free availability from http://www. r-project.org/) are its fast yet powerful and flexible graphics and its well-established algorithmic base. The book assumes no prior knowledge of R, and takes readers through every step of the way from installing R, loading data from other packages, performing and interpreting the analyses. Parts I and II cover the essentials, while Part III considers more advanced topics, which remain the subject of active res
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