Description - Publication Bias in Meta-Analysis by Hannah Rothstein
Publication bias is a topic of great -- and increasing -- importance to a wide variety of scientific disciplines. There has been a tremendous amount of research into the topic, and there is a real need for a book which summarizes what is known about publication bias. This exciting new text provides comprehensive coverage of the subject, and adopts a practical multi--disciplinary approach. It features many worked examples, using common data sets throughout the book. Each chapter is authored by leading authorities in the field, from a number of different scientific disciplines. There are references throughout to appropriate software, and the book is supported by a Website featuring software, data sets and further material. The book will make an excellent reference volume for any scientist conducting meta--analyses, providing access to the state--of--the--art methodology. This book: Provides comprehensive coverage of the topic of publication bias. Includes discussion of the different types of publication bias, causes for bias, statistical methods for addressing bias, and advice as to how to it may be avoided. Features worked examples, and common data sets are used throughout.
Includes discussion of software used for meta--analysis and reducing publication bias. Takes a very practical and multidisciplinary approach. Includes a detailed annotated bibliography. Accompanied by a Website featuring software, data sets and further material.
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(235mm x 163mm x mm)
Publisher: John Wiley and Sons Ltd
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Book Reviews - Publication Bias in Meta-Analysis by Hannah Rothstein
Author Biography - Hannah Rothstein
Hannah Rothstein is co-chair of the Methods Group of the Campbell Collaboration, and a member of the Collaboration's Steering Group. She is also a member of the Cochrane Collaboration's reporting bias methods group. Dr. Rothstein has been first author of four published meta-analyses of employment selection methods and has written many articles on methodological issues in meta-analysis. She has authored a chapter on meta-analysis that appeared in Measuring and Analyzing Behavior in Organizations, and has completed a 25-year retrospective on the contributions of meta-analysis to the field of industrial and organizational psychology that appeared in Validity Generalization: A Critical Review. With Michael Borenstein, and others, she is the author of computer software for meta-analysis and power analysis. Alex Sutton has published extensively on meta-analysis methodology generally, and on publication bias specifically in recent years, including a major systematic review on the topic of the methodology that has been developed for meta-analysis. He currently has an active interest in the area of partially reported study information, which is currently under-researched. Dr. Sutton is co-author of a textbook on metaanalysis (Methods for Meta Analysis in Medical Research), which was published by Wiley in 2000. Michael Borenstein served as Director of Biostatistics at Hillside Hospital, Long Island Jewish Medical Center from 1980-2002, and as Associate Professor at Albert Einstein College of Medicine from 1992-2002. He has served on various review groups and advisory panels for the National Institutes of Health and as a member of the NIMH Data Safety Monitoring Board, and is an active member of the statistical advisory groups of the Cochrane and Campbell Collaborations. Since the mid-1990s, Dr Borenstein has lectured widely on meta-analysis. He is the PI on several NIH grants to develop software for meta-analysis and is the developer, with Larry Hedges, Julian Higgins, Hannah Rothstein and others, of Comprehensive Meta Analysis, a best-selling computer program for meta-analysis.