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Introduction to Meta-Analysis - Michael Borenstein, Larry V. Hedges, Julian P. T. Higgins, Hannah R. Rothstein
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Michael Borenstein, Larry V. Hedges, Julian P. T. Higgins, Hannah R. Rothstein:

Introduction to Meta-Analysis - gebunden oder broschiert

ISBN: 0470057246

[SR: 458840], Hardcover, [EAN: 9780470057247], Wiley, Wiley, Book, [PU: Wiley], Wiley, 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<, 227277, Biostatistics, 226688, Biology, 13469, Biological Sciences, 75, Science & Math, 1000, Subjects, 283155, Books, 227677, Research, 173514, Medical Books, 1000, Subjects, 283155, Books, 11288, Sociology, 16244271, Abuse, 271633011, Class, 297480, Death, 11291, Marriage & Family, 16311191, Medicine, 10582, Race Relations, 11293, Rural, 11294, Social Theory, 11296, Urban, 3377866011, Politics & Social Sciences, 1000, Subjects, 283155, Books, 491532, Reference, 689815011, Atlases, 689816011, Dictionaries & Terminology, 689817011, Drug Guides, 689818011, Instruments & Supplies, 468228, Medicine & Health Sciences, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books, 689820011, Biostatistics, 689819011, Research, 468228, Medicine & Health Sciences, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books

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ID: 1082813

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. - Explains how to avoid common mistakes in meta-analysis. - Discusses controversies in meta-analysis. - Includes sections on additional readings and other resources. The book´s approach is primarily conceptual, but with sufficient detail so that readers can implement the procedures in their own research. Key ideas are introduced using text and figures, followed by the relevant formulas and worked examples. These examples, as well as additional exercises and materials, may be downloaded from the book´s web site (www.Meta-Analysis.com). The authors have extensive experience in the theory and application of meta-analysis. As a group, they have hundreds of publications in this area, as well as many years of experience teaching meta-analysis to researchers, clinicians and statisticians. This book builds on this foundation and will serve equally well as the text for a course in meta-analysis, as a resource for self-study, or as a reference. 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. Unlike other references in meta-analysis, which tend to focus on specific fields of research, Introduction to Meta-analysis provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. The summary points at the end of each chapter and the notes at the end are extremely useful. The sections on Simpson´s paradox, and a unique perspective on meta-analysis in context are nothing short of gems. 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 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 Buch > Mathematik, Naturwissenschaft & Technik > Mathematik > Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik, John Wiley & Sons / Wiley John + Sons

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Introduction to Meta-Analysis
Autor:

Borenstein, Michael; Hedges, Larry V.; Higgins, Julian P. T; Rothstein, Hannah R.

Titel:

Introduction to Meta-Analysis

ISBN-Nummer:

9780470057247

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

Detailangaben zum Buch - Introduction to Meta-Analysis


EAN (ISBN-13): 9780470057247
ISBN (ISBN-10): 0470057246
Gebundene Ausgabe
Erscheinungsjahr: 2009
Herausgeber: Wiley John + Sons
450 Seiten
Gewicht: 0,955 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 10.07.2008 17:04:44
Buch zuletzt gefunden am 14.12.2016 13:16:26
ISBN/EAN: 9780470057247

ISBN - alternative Schreibweisen:
0-470-05724-6, 978-0-470-05724-7

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