Meta Analysis Made Simple
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Meta Analysis Made Simple
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-11
Meta Analysis Made Simple written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Science categories.
Meta-Analysis Made Simple is the ultimate guide to conducting and interpreting meta-analyses, the statistical method used to combine the results of multiple studies to draw more precise and reliable conclusions. This comprehensive book provides a step-by-step guide to the entire meta-analysis process, from planning and conducting a meta-analysis to interpreting and reporting the results. Written in a clear and accessible style, Meta-Analysis Made Simple is suitable for researchers, students, and practitioners in a variety of fields. It is also an essential resource for anyone who wants to understand the role of meta-analysis in evidence-based practice. This book begins by introducing the basic concepts of meta-analysis and discussing its advantages and limitations. It then provides a detailed overview of the statistical methods used in meta-analysis, including fixed-effects and random-effects models, meta-regression analysis, and sensitivity analysis. The book also emphasizes the importance of critical thinking and interpretation of results, providing guidance on how to assess the quality of studies included in a meta-analysis, identify and address potential biases, and draw meaningful conclusions from the findings. In addition to covering the statistical methods and techniques used in meta-analysis, this book also provides practical guidance on conducting a meta-analysis. It includes step-by-step instructions on how to identify and select studies, extract data, and analyze the results. The book also provides guidance on writing a meta-analysis report and presenting the results in a clear and concise manner. Meta-Analysis Made Simple is the definitive guide to this powerful research method. It is an essential resource for anyone who wants to conduct a meta-analysis, learn about meta-analysis, or use meta-analysis to inform their practice. If you like this book, write a review on google books!
Cochrane Handbook For Systematic Reviews Of Interventions
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Author : Julian P. T. Higgins
language : en
Publisher: Wiley
Release Date : 2008-11-24
Cochrane Handbook For Systematic Reviews Of Interventions written by Julian P. T. Higgins and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-24 with Medical categories.
Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.
Meta Regression Analysis In Economics And Business
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Author : T. D. Stanley
language : en
Publisher: Routledge
Release Date : 2012
Meta Regression Analysis In Economics And Business written by T. D. Stanley and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Business & Economics categories.
Meta-Regression Analysis in Economics and Business is the first text devoted to the meta-regression analysis (MRA) of economics and business research.
Bayesian Analysis Made Simple
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Author : Phil Woodward
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Bayesian Analysis Made Simple written by Phil Woodward and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Mathematics categories.
Although the popularity of the Bayesian approach to statistics has been growing for years, many still think of it as somewhat esoteric, not focused on practical issues, or generally too difficult to understand.Bayesian Analysis Made Simple is aimed at those who wish to apply Bayesian methods but either are not experts or do not have the time to cre
Network Meta Analysis For Decision Making
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Author : Sofia Dias
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-19
Network Meta Analysis For Decision Making written by Sofia Dias and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-19 with Mathematics categories.
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.
Introduction To Meta Analysis
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Author : Michael Borenstein
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-24
Introduction To Meta Analysis written by Michael Borenstein and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-24 with Medical categories.
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
Understanding Statistics And Experimental Design
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Author : Michael H. Herzog
language : en
Publisher: Springer
Release Date : 2019-08-13
Understanding Statistics And Experimental Design written by Michael H. Herzog and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-13 with Science categories.
This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
Meta Analysis With R
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Author : Guido Schwarzer
language : en
Publisher: Springer
Release Date : 2015-10-08
Meta Analysis With R written by Guido Schwarzer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-08 with Medical categories.
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.
Handbook Of Meta Analysis
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Author : Christopher H. Schmid
language : en
Publisher: CRC Press
Release Date : 2020-09-08
Handbook Of Meta Analysis written by Christopher H. Schmid and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-08 with Mathematics categories.
Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics. Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same time, meta-analysis has been extended beyond simple two-group comparisons of continuous and binary outcomes to comparing and ranking the outcomes from multiple groups, to complex observational studies, to assessing heterogeneity of effects, and to survival and multivariate outcomes. Many of these methods are statistically complex and are tailored to specific types of data. Key features Rigorous coverage of the full range of current statistical methodology used in meta-analysis Comprehensive, coherent, and unified overview of the statistical foundations behind meta-analysis Detailed description of the primary methods for both univariate and multivariate data Computer code to reproduce examples in chapters Thorough review of the literature with thousands of references Applications to specific types of biomedical and social science data This book is for a broad audience of graduate students, researchers, and practitioners interested in the theory and application of statistical methods for meta-analysis. It is written at the level of graduate courses in statistics, but will be of interest to and readable for quantitative scientists from a range of disciplines. The book can be used as a graduate level textbook, as a general reference for methods, or as an introduction to specialized topics using state-of-the art methods.
Methods Of Meta Analysis
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Author : John E Hunter
language : en
Publisher: SAGE
Release Date : 2004-04-07
Methods Of Meta Analysis written by John E Hunter and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-04-07 with Business & Economics categories.
Click ′Additional Materials′ for downloadable sample chapter"Clearly written and compellingly argued, this book explains the procedures and benefits of correcting for measurement error and range restriction and details the methodological developments in meta-analysis over the last decade. No one should consider conducting a meta-analysis without first reading this book. It is essential reading for all scientists."--Michael A. McDaniel, Virginia Commonwealth University "A book that will certainly appeal not only to the students, but will also be a great reference source for the technically sophisticated professional. The breadth and depth of the coverage, not to mention the novelty and clarity of writing, makes this book a classic in the field. It covers (and at times introduces) many novel issues that will be in the forefront for some years to come--as such a must read for all meta-analysts."--Vish C. Viswesvaran, Ph.D., Director of I/O Program, Florida International University Meta-analysis is arguably the most important methodological innovation in the social and behavioral sciences in the last 25 years. Developed to offer researchers an informative account of which methods are most useful in integrating research findings across studies, this book will enable the reader to apply, as well as understand, meta-analytic methods. Rather than taking an encyclopedic approach, the authors have focused on carefully developing those techniques that are most applicable to social science research, and have given a general conceptual description of more complex and rarely-used techniques. Fully revised and updated, Methods of Meta-Analysis, Second Edition is the most comprehensive text on meta-analysis available today. New to the Second Edition: * An evaluation of fixed versus random effects models for meta-analysis* New methods for correcting for indirect range restriction in meta-analysis* New developments in corrections for measurement error* A discussion of a new Windows-based program package for applying the meta-analysis methods presented in the book* A presentation of the theories of data underlying different approaches to meta-analysis