Sowo 923 - Systematic Reviews and Introduction to Meta-analysis

Introduction to Meta-Assay, 2d Edition

Michael Borenstein, Larry Five. Hedges, Julian P.T. Higgins, Hannah Rothstein
Publisher: Wiley

This book provides a very clear overview of meta-assay – what it is, why we utilise it, how to perform and interpret a meta-analysis, and how to avoid common mistakes. It starts with bones ideas (how to compute an issue size and perform a simple analysis) but then moves on to more advanced bug (subgroups analysis, meta-regression, multiple outcomes, publication bias). While the volume's approach is primarily conceptual, it includes formulas and worked examples that serve both to illustrate the concepts and to provide practical advice. The worked examples can be accessed here, both as Excel files and every bit CMA files. This volume has been widely adopted equally a text for meta-analysis courses, and has consistently been a best-seller on Amazon since its release.

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Common Mistakes in Meta-Analysis and How to Avoid Them (2019)

Michael Borenstein

Among the thousands of meta-analyses that have been published over the past several decades, in that location are a number of mistakes that announced on a adequately regular basis. This book outlines the most common mistakes, using examples in medicine, epidemiology, instruction, psychology, criminal justice, and other fields. For each, it explains why information technology is a mistake, the implications of the fault, and how to right the mistake. The volume is intended primarily for researchers, and and then the discussion is conceptual rather than statistical. The examples show the real-globe consequences of the mistakes, explaining (for example) how the mistakes can pb to the adoption of interventions that may actually exist harmful in some populations. The volume includes a section with examples that show how to report the results of an analysis correctly. These examples can serve as templates for reporting an analysis, while avoiding the mistakes discussed in earlier chapters.

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The Handbook of Research Synthesis and Meta-Analysis, 3rd Edition (2019)

Harris Cooper, Larry 5. Hedges, Jeffrey C. Valentine (eds.)
New York: Russell Sage Foundation

This book is a classic. Recognized as the definitive resource for inquiry synthesis when published in 1994, updated in 2010 and again in 2019, this work remains the first book many people plow to. The book is arranged every bit an encyclopedia, with each chapter written by experts in a specific aspect of enquiry synthesis. Withal, the editors also bundled for the chapter authors to utilise the same datasets and style throughout, then the book flows naturally from ane section to the adjacent, and offers an excellent overview of the field for statisticians and researchers alike. In the third edition, the editors present updated versions of classic chapters and add together new sections that evaluate cutting-border developments in the field. This edition of the Handbook provides comprehensive pedagogy in the skills necessary to conduct research syntheses and represents the premier text on research synthesis.

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Statistical Methods for Meta-Analysis (1985)

Larry V Hedges & Ingram Olkin
New York: Bookish Press

Similar "The Handbook", this book, published in 1985, helped to open the field of meta-analysis to a generation of researchers, became an instant classic, and remains a valuable resource to this day. Where "The Handbook" covers many aspects of research synthesis, this volume focuses almost exclusively on meta-assay (the statistical component of inquiry synthesis), and does so from a mathematical perspective.

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Cochrane Handbook for Systematic Reviews of Interventions, second edition (2019)

Julian P.T. Higgins & James Thomas (eds.), Jacqueline Chandler, Miranda Cumpston, Tianjing Li, Matthew J. Page, Vivian A. Welch (co-eds.)
Hoboken, NJ: Wiley-Blackwell

This book is the essential manual for all those preparing, maintaining and reading Cochrane reviews of the effects of wellness interventions. The fully updated 2nd edition contains extensive new textile on systematic review methods addressing a wide-range of topics including network meta-assay, disinterestedness, complex interventions, narrative synthesis, and automation. Too new to this edition, integrated throughout the Handbook, is the set of standards Cochrane expects its reviews to see. Designed to be an accessible resource, the Handbook will as well be of interest to anyone undertaking systematic reviews of interventions outside Cochrane, and many of the principles and methods presented are advisable for systematic reviews addressing enquiry questions other than furnishings of interventions.

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Inquiry Synthesis and Meta-Assay: A Step-past-Step Arroyo, fifth edition (2019)

Harris Cooper
Los Angeles: Sage

This book focuses on that function of the enquiry synthesis that is not the meta-analysis: How to formulate the research question, locate the relevant studies, code the data, interpret and nowadays the analysis. This book puts the meta-assay endeavor in context, and is an invaluable (and very readable) resource, both for researchers and as a text in courses on meta-analysis. Written in obviously language with 4 running examples drawn from psychology, didactics, and health scientific discipline, this book offers practical advice on how to conduct a synthesis of research in the social, behavioral, and health sciences. With ample coverage of literature searching and the technical aspects of meta-analysis, this 1-of-a-kind volume applies the basic principles of sound data gathering to the job of producing a comprehensive cess of existing research.

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Practical Meta-Analysis (2000)

Marking Lipsey & David Wilson
Thousand Oaks: Sage

The book'due south approach is captured in its title. The book offers a practical, hands-on approach and as such is probably the best general purpose introduction to meta-analysis. It offers an overview of all aspects of research synthesis, and a non-technical introduction to the statistical aspects of meta-analysis. This volume can serve as a text for short courses in meta-analysis.

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Systematic Reviews in Health Intendance (2001)

Matthias Egger, George Davey-Smith & Douglas G. Altman, Foreword by Iain Chalmers

This edited volume does for systematic review in medicine what "The Handbook of Research Synthesis" does for research synthesis (primarily) in the social sciences. Information technology provides an overview of the field and and so explores specific bug in detail. These include statistical issues, merely as well such issues as standards of testify, the employ of observational studies in meta-analysis, practical implications of heterogeneity, and then on. While this book is geared primarily toward researchers in the medical fields, the issues raised are relevant also to the social sciences and other fields.

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Methods for Meta-Analysis in Medical Enquiry

Alex J Sutton, Keith R. Abrams, David R Jones, Trevor A Sheldon, Fujian Song

Similar "Systematic Reviews in Health Care", this book draws examples primarily from medicine and epidemiology, simply the focus hither is more on statistical issues and less on the broader framework of systematic reviews. In that location is surprisingly little overlap betwixt the two books. Many of the topics covered in either book are non covered in the other and when the two books do address the same event, each tends to provide a somewhat different perspective. The style is articulate and relatively non-technical, and the examples are used effectively. Every bit was true of "Systematic Reviews", the issues covered in this book are relevant also in fields other than medicine, and anyone engaged in meta-analysis or research synthesis will find this to be a valuable resource besides as an excellent read.

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Publication Bias in Meta-Analysis

Hannah Rothstein, Alex Sutton, Michael Borenstein
Chichester: Wiley

Meta-Analysis provides a mathematically accurate synthesis of the available data, but cannot guarantee that the bachelor data is unbiased. In fact, it has been shown that researchers are more likely to publish studies that yield relatively large treatment effects than studies which yield more modest effects, which raises the concern that any synthesis of published data can yield an exaggerated effect. This volume traces the history of the problem, explains how to appraise the potential impact of bias in whatever given meta-analysis, and discusses mechanisms that are existence adopted in hopes of minimizing the potential for bias in the futurity.

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How Scientific discipline Takes Stock: The Story of Meta-Assay (1999)

Morton Chase
New York: Russell Sage

This book discusses the history of meta-assay over the past several decades – how it emerged every bit a field, what function it has played in medicine and social scientific discipline, and and then on. Mr. Hunt is a announcer, and this book reads like an extended article in the Science section of the New York Times – interesting, very well written, and informative. The book provides a glimpse at some of the people responsible for the development of this field, some of controversies that have adult around it ("Apples and Oranges", "Garbage in, Garbage out"), and how meta-analysis is likely to affect the practice of research and policy in the future.

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Methods of Meta-Assay: Correcting Error and Bias in Research Findings (tertiary edition) 2014

John Eastward. Hunter and Frank 50. Schmidt
Newbury Park: Sage

This book focuses on the Hunter-Schmidt approach to meta-analysis, and every bit such it differs from the other books on this page in three ways. It focuses primarily on validity coefficients and standardized mean differences, to the exclusion of other effects size indices. It focuses on artifact corrections, that is, adjusting the point estimates to account for imperfect reliability and range brake. It weights the studies past sample size, rather than inverse variance. This approach is generally the preferred approach amidst persons working in Industrial/Organizational psychology, and for these people this volume would be the chief resource. For others, this book offers a look at an alternate approach to meta-analysis.

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Meta-Assay of Controlled Trials (2002)

Anne Whitehead
Chichester: Wiley

Where the Egger and the Sutton books attempt to await at the big moving-picture show of meta-analysis as part of a systematic review, this volume focuses primarily on the mathematics of the meta-analysis itself, starting with simple examples and moving on to advanced issues. In that sense this volume is similar to Hedges and Olkin'due south book on statistical methods, simply the Whitehead volume has a more than express focus.

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Systematic Reviews and Meta-analysis (2008)

Julia H Littell, Jacqueline Corcoran, & Vijayan Pillai
Oxford : Oxford University Press

This volume provides a highly accessible introduction to the concepts and methods of research synthesis, focusing on systematic reviews and meta-analysis. Examples are fatigued from social piece of work, social welfare, psychology, and education. Chapters cover topic formulation and protocol development, locating and screening studies, extracting data and assessing study qualities, effect size metrics and pooling methods, assessing bias and variations in effects, and interpreting results. The book is useful for researchers, practitioners, policy makers, and students.

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Applied Meta-Analysis for Social Science Enquiry (2012)

Noel A. Card
New York: Guilford Publications

This book offers pragmatic guidance for planning and conducting a meta-analytic review. It is written in a nontechnical style that makes information technology valuable for graduate students or starting time meta-analysts. The volume describes all steps of a meta-analysis, including identifying research questions, retrieving published and unpublished studies, coding, analysis, and write-upwardly. In addition to these fundamentals, the book introduces more than advanced topics, including artifact correction, random and mixed-effects models, structural equation representations, and multivariate procedures. A common example is used throughout the book to illustrate these techniques. The book also contains additional convenient features, including thoroughly annotated equations and "applied matters" sections based on the author'southward feel in publishing meta-analytic reviews.

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Advances in Meta-Analysis (2012)

Terri D. Pigott
New York: Springer

The discipline of the book is avant-garde statistical analyses for quantitative inquiry synthesis (meta-analysis). It also includes selected practical problems relating to research synthesis that are not covered in detail in the many existing introductory books on research synthesis (or meta-analysis). Complex statistical issues are arising more frequently every bit the primary research that is summarized in quantitative syntheses itself becomes more than complex, and every bit researchers who are conducting meta-analyses become more aggressive in the questions they wish to address.

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Systematic Reviews in the Social Sciences (2006)

Mark Petticrew & Helen Roberts
Malden: Blackwell Publishing

This book, written by two highly-respected social scientists, provides an overview of systematic literature review methods - outlining the rationale and methods of systematic reviews, giving worked examples from social science and other fields, and applying the practice to all social science disciplines.

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Modelos Estadísticos en Meta-análisis [Statistical Models in Meta-analysis]. Serial in Methodology and Data Analysis in Social Sciences (2010)

Tania B. Huedo-Medina & Blair T. Johnson
A Coruña, Spain: Netbiblio

This book intends to exist a guide to larn how to obtain a comprehensive average of the magnitude of outcome across studies, assessing the consistency of the results distinguishing among the different statistical models that tin be used in meta-analysis, fixed-, random- and mixed-effects. This volume is a useful add-on to whatsoever handbook of meta-analysis for scholars who want to understand and run the three master statistical models that tin be applied in meta-analysis.

Evidence Synthesis for Decision Making in Healthcare

Nicky J. Welton, Alexander J. Sutton, Nicola J. Cooper, Keith R. Abrams and A. East. Ades
Chichester: Wiley

This volume is intended to be used in a wide variety of ways. It volition serve as an introduction to evidence synthesis, leading from relatively uncomplicated to intermediate level examples. Everything is fix inside a Bayesian framework, and inside a decision-making context, and for those unfamiliar with either of these fields this book should provide a useful introduction. At the aforementioned time, the book can exist but taken as a treatise on evidence synthesis.

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