A Practical Guide To Modern Methods Of Meta Analysis
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A Practical Guide To Modern Methods Of Meta Analysis
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Author : L. Hodges
language : en
Publisher:
Release Date :
A Practical Guide To Modern Methods Of Meta Analysis written by L. Hodges and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
A Practical Guide To Modern Methods Of Meta Analysis
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Author : Larry V. Hedges
language : en
Publisher:
Release Date : 1989
A Practical Guide To Modern Methods Of Meta Analysis written by Larry V. Hedges and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Science categories.
Methods for meta-analysis have evolved dramatically since Gene Glass first proposed the term in 1976. Since that time statistical and nonstatistical aspects of methodology for meta-analysis have been developing at a steady pace. This guide is an attempt to provide a practical introduction to rigorous procedures in the meta-analysis of social science research. It approaches the use of modern statistical methods in meta-analysis from the perspective of a potential user. The treatment is limited to meta-analysis of studies of between-group comparisons using the standardized mean difference as an index of effect magnitude. This guide is organized according to a variant of Cooper's stages of the research review process: (1) problem formulation; (2) data collection and data evaluation, data analysis and interpretation; and (3) presentation of results. Although each stage is discussed, the greatest emphasis is placed on the stage of data analysis and interpretation. Examples from a synthesis of research on the effects of science curricula are used throughout for illustration. Because this book is intended to be a practical guide, the references are provided primarily to exemplify issues or techniques rather than to provide theoretical discussions or derivations. (CW)
Practical Meta Analysis
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Author : Mark W. Lipsey
language : en
Publisher: SAGE Publications, Incorporated
Release Date : 2001
Practical Meta Analysis written by Mark W. Lipsey and has been published by SAGE Publications, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Reference categories.
By integrating and translating the current methodological and statistical work into a practical guide, the authors of this text provide readers with a state-of-the-art introduction to the various approaches to doing meta-analysis.
Meta Analysis
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Author : Catherine Selden
language : en
Publisher:
Release Date : 1992
Meta Analysis written by Catherine Selden and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Meta-analysis categories.
Resources In Education
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Author :
language : en
Publisher:
Release Date : 1990
Resources In Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Education categories.
Current Bibliographies In Medicine
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Author :
language : en
Publisher:
Release Date : 1988
Current Bibliographies In Medicine written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Medicine categories.
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.
The Sage Handbook Of Multilevel Modeling
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Author : Marc A. Scott
language : en
Publisher: SAGE
Release Date : 2013-08-31
The Sage Handbook Of Multilevel Modeling written by Marc A. Scott and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-31 with Reference categories.
In this important new Handbook, the editors have gathered together a range of leading contributors to introduce the theory and practice of multilevel modeling. The Handbook establishes the connections in multilevel modeling, bringing together leading experts from around the world to provide a roadmap for applied researchers linking theory and practice, as well as a unique arsenal of state-of-the-art tools. It forges vital connections that cross traditional disciplinary divides and introduces best practice in the field. Part I establishes the framework for estimation and inference, including chapters dedicated to notation, model selection, fixed and random effects, and causal inference. Part II develops variations and extensions, such as nonlinear, semiparametric and latent class models. Part III includes discussion of missing data and robust methods, assessment of fit and software. Part IV consists of exemplary modeling and data analyses written by methodologists working in specific disciplines. Combining practical pieces with overviews of the field, this Handbook is essential reading for any student or researcher looking to apply multilevel techniques in their own research.
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.
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