Introduction to Meta-Analysis

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9780470057247: Introduction to Meta-Analysis
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This book provides a clear and thorough introduction tometa-analysis, the process of synthesizing data from a series ofseparate studies. Meta-analysis has become a critically importanttool in fields as diverse as medicine, pharmacology, epidemiology,education, psychology, business, and ecology. Introduction toMeta-Analysis:

  • Outlines the role of meta-analysis in the research process
  • Shows how to compute effects sizes and treatment effects
  • Explains the fixed-effect and random-effects models forsynthesizing data
  • Demonstrates how to assess and interpret variation in effectsize across studies
  • Clarifies concepts using text and figures, followed by formulasand examples
  • Explains how to avoid common mistakes in meta-analysis
  • Discusses controversies in meta-analysis
  • Features a web site with additional material and exercises

A superb combination of lucid prose and informative graphics,written by four of the world’s leading experts on allaspects of meta-analysis. Borenstein, Hedges, Higgins, andRothstein provide a refreshing departure from cookbookapproaches with their clear explanations of the what and whyof meta-analysis. The book is ideal as a course textbook or forself-study. My students, who used pre-publication versionsof some of the chapters, raved about the clarity of theexplanations and examples. David Rindskopf, DistinguishedProfessor of Educational Psychology, City University of New York,Graduate School and University Center, & Editor of the Journalof Educational and Behavioral Statistics.

The approach taken by Introduction to Meta-analysis isintended to be primarily conceptual, and it is amazinglysuccessful at achieving that goal. The reader can comfortably skipthe formulas and still understand their application andunderlying motivation. For the more statisticallysophisticated reader, the relevant formulas and worked examplesprovide a superb practical guide to performing ameta-analysis. The book provides an eclectic mix of examplesfrom education, social science, biomedical studies, and evenecology. For anyone considering leading a course inmeta-analysis, or pursuing self-directed study, Introduction toMeta-analysis would be a clear first choice. Jesse A.Berlin, ScD 

Introduction to Meta-Analysis is an excellent resource fornovices and experts alike. The book provides a clear andcomprehensive presentation of all basic and most advancedapproaches to meta-analysis. This book will be referencedfor decades. Michael A. McDaniel, Professor of Human Resourcesand Organizational Behavior, Virginia Commonwealth University

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About the Author:

Michael Borenstein, Director of Biostatistical Programming Associates
Professor Borenstein is the co-editor of the recently published Wiley book Publication Bias in Meta-Analysis, and has taught dozens of workshops on meta-analysis. He also helped to develop the best-selling software programs for statistical power analysis.

Hannah Rothstein, Zicklin School of Business, Baruch College
Professor Rothstein teaches regular seminars on meta-analysis and systematic reviews, and has 20 years of active research in the area of meta-analysis. She has authored several meta-analyses as well as articles on methodological issues in the area, and made numerous presentations on the topic. Having contributed chapters to two books on meta-analysis, she co-edited Publication Bias in Meta-Analysis.

Larry Hedges, University of Chicago
A pioneer in meta-analysis, Professor Hedges has published over 80 papers in the area (many describing techniques he himself developed, that are now used as standard), co-edited the Handbook for Synthesis Research, and co-authored three books on the topic including the seminal Statistical Methods for Meta-Analysis. He has also taught numerous short courses on meta-analysis sponsored by various international organizations such as the ASA.

Julian Higgins, MRC Biostatistics Unit, Cambridge
Dr Higgins has published many methodological papers in meta-analysis. He works closely with the Cochrane Collaboration and is an editor of the Cochrane Handbook. He has much experience of teaching meta-analysis, both at Cambridge University and, by invitation, around the world.

Review:

“Both books can be recommendedfor graduate training and are useful additions to the library ofthose interested in the meta-analytic accumulation of literatureson training, vocational learning, and education in theprofessions.”  (Vocations and Learning, 15 December2010)

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Book Description John Wiley and Sons Ltd, United States, 2009. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis : Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studies Clarifies concepts using text and figures, followed by formulas and examples Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Features a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the world's leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis.The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics . The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice. Jesse A. Berlin, ScD Introduction to Meta-Analysis is an excellent resource for novices and experts alike.The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University. Seller Inventory # AAZ9780470057247

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Book Description John Wiley and Sons Ltd, United States, 2009. Hardback. Condition: New. 1. Auflage. Language: English. Brand new Book. This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research processShows how to compute effects sizes and treatment effectsExplains the fixed-effect and random-effects models for synthesizing dataDemonstrates how to assess and interpret variation in effect size across studiesClarifies concepts using text and figures, followed by formulas and examplesExplains how to avoid common mistakes in meta-analysisDiscusses controversies in meta-analysisFeatures a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the world s leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics. The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice. Jesse A. Berlin, ScD Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University. Seller Inventory # AAZ9780470057247

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