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Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics
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Introduction to Meta-Analysis 2e (Hardcover, 2nd Edition)
Loot Price: R1,918
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Introduction to Meta-Analysis 2e (Hardcover, 2nd Edition)
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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, 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: 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)(TM)
Download videos, class materials, and worked examples at
www.Introduction-to-Meta-Analysis.com This book offers the reader a
unified framework for thinking about meta-analysis, and then
discusses all elements of the analysis within that framework. The
authors address a series of common mistakes and explain how to
avoid them. As the editor-in-chief of the American Psychologist and
former editor of Psychological Bulletin, I can say without
hesitation that the quality of manuscript submissions reporting
meta-analyses would be vastly better if researchers read this book.
Harris Cooper, Hugo L. Blomquist Distinguished Professor Emeritus
of Psychology and Neuroscience, Editor-in-chief of the American
Psychologist, former editor of Psychological Bulletin A superb
combination of lucid prose and informative graphics, the authors
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 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
This book offers the reader a unified framework for thinking about
meta-analysis, and then discusses all elements of the analysis
within that framework. The authors address a series of common
mistakes and explain how to avoid them. As the editor-in-chief of
the American Psychologist and former editor of Psychological
Bulletin, I can say without hesitation that the quality of
manuscript submissions reporting meta-analyses would be vastly
better if researchers read this book. Harris Cooper, Hugo L.
Blomquist Distinguished Professor Emeritus of Psychology and
Neuroscience, Editor-in-chief of the American Psychologist, former
editor of Psychological Bulletin A superb combination of lucid
prose and informative graphics, the authors 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 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. Berl
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