Introduction To Meta Analysis

Introduction to Meta Analysis PDF Book Detail:
Author:
Publisher: John Wiley & Sons Incorporated
ISBN: 9780470057247
Size: 54.92 MB
Format: PDF, Docs
Category : Medical
Languages : en
Pages : 421
View: 3402

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Book Description: This text provides a concise and clearly presented discussion of all the elements in a meta-analysis. It is illustrated with worked examples throughout, with visual explanations, using screenshots from Excel spreadsheets and computer programs such as Comprehensive Meta-Analysis (CMA) or Strata.

Introduction To Meta Analysis

Introduction to Meta Analysis PDF Book Detail:
Author: Michael Borenstein
Publisher: John Wiley & Sons
ISBN: 1119558352
Size: 67.39 MB
Format: PDF
Category : Medical
Languages : en
Pages : 544
View: 4681

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Book Description: The new edition of the market-leading textbook, covering the latest developments in the rapidly growing field of meta-analysis This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field. The fully updated second edition includes new and expanded content on avoiding common mistakes in meta-analysis, understanding heterogeneity in effects, publication bias, reporting the Knapp-Hartung Sidik-Jonkman adjustment, and more. Several brand-new chapters provide a systematic “how to” approach to performing and reporting a meta-analysis from start to finish. Written by four of the world’s foremost authorities on all aspects of meta-analysis, the new edition of 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 access to a companion website containing videos, spreadsheets, data files, free software for prediction intervals, and step-by-step instructions for performing analyses using Comprehensive Meta-Analysis (CMA) ™

Introduction To Meta Analysis

Introduction to Meta Analysis PDF Book Detail:
Author: Michael Borenstein
Publisher: John Wiley & Sons
ISBN: 1119964377
Size: 53.18 MB
Format: PDF, ePub, Docs
Category : Medical
Languages : en
Pages : 450
View: 3672

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Book Description: 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

Introduction To Meta Analysis

Introduction to Meta Analysis PDF Book Detail:
Author: Michael Borenstein
Publisher:
ISBN:
Size: 22.43 MB
Format: PDF, Docs
Category :
Languages : en
Pages : 421
View: 1524

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Book Description:

Meta Analysis With R

Meta Analysis with R PDF Book Detail:
Author: Guido Schwarzer
Publisher: Springer
ISBN: 3319214160
Size: 18.93 MB
Format: PDF, ePub, Mobi
Category : Medical
Languages : en
Pages : 252
View: 6021

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Book Description: 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. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies.

An Introduction To Meta Analysis

An Introduction to Meta Analysis PDF Book Detail:
Author:
Publisher:
ISBN: 9781473997370
Size: 69.96 MB
Format: PDF, ePub, Docs
Category : Meta-analysis
Languages : en
Pages :
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Book Description: Dr Christopher J. Carpenter introduces the concept of meta-analysis, a statistical approach to finding patterns and trends among research studies on the same topic. Meta-analysis allows the researcher to weight study results based on size, moderating variables, and other factors.

Network Meta Analysis For Decision Making

Network Meta Analysis for Decision Making PDF Book Detail:
Author: Sofia Dias
Publisher: John Wiley & Sons
ISBN: 1118647505
Size: 69.32 MB
Format: PDF, ePub, Mobi
Category : Mathematics
Languages : en
Pages : 488
View: 1309

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Book Description: A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials. This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes that the purpose of every synthesis is to answer the question “for this pre-identified population of patients, which treatment is ‘best’?” A comprehensive, coherent framework for network meta-analysis (mixed treatment comparisons) is adopted and estimated using Bayesian Markov Chain Monte Carlo methods implemented in the freely available software WinBUGS. Each chapter contains worked examples, exercises, solutions and code that may be adapted by readers to apply to their own analyses. This book can be used as an introduction to evidence synthesis and network meta-analysis, its key properties and policy implications. Examples and advanced methods are also presented for the more experienced reader. Methods used throughout this book can be applied consistently: model critique and checking for evidence consistency are emphasised. Methods are based on technical support documents produced for NICE Decision Support Unit, which support the NICE Methods of Technology Appraisal. Code presented is also the basis for the code used by the ISPOR Task Force on Indirect Comparisons. Includes extensive carefully worked examples, with thorough explanations of how to set out data for use in WinBUGS and how to interpret the output. Network Meta-Analysis for Decision Making will be of interest to decision makers, medical statisticians, health economists, and anyone involved in Health Technology Assessment including the pharmaceutical industry.

Common Mistakes In Meta Analysis

Common Mistakes in Meta Analysis PDF Book Detail:
Author: Michael Borenstein
Publisher:
ISBN: 9781733436700
Size: 73.16 MB
Format: PDF, Mobi
Category : Meta-analysis
Languages : en
Pages : 409
View: 7266

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Book Description: