Introduction to Meta-Analysis [Kindle Edition]
Author: Larry V. Hedges | Language: English | ISBN: B00HCCX2N6 | Format: PDF, EPUB
Download Introduction to Meta-Analysis [Kindle Edition] from mediafire, rapishare, and mirror link 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’sleading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothsteinprovide a refreshing departure from cookbook approaches with their clear explanations ofthe 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 theclarity 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 theformulas and still understand their application and underlying motivation. For the morestatistically sophisticated reader, the relevant formulas and worked examples provide a superbpractical guide to performing a meta-analysis. The book provides an eclectic mix of examplesfrom education, social science, biomedical studies, and even ecology. For anyone consideringleading a course in meta-analysis, or pursuing self-directed study, Introduction toMeta-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 bookprovides a clear and comprehensive presentation of all basic and most advanced approachesto meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University Books with free ebook downloads available Introduction to Meta-Analysis [Kindle Edition]
- File Size: 6348 KB
- Print Length: 452 pages
- Publisher: Wiley; 2 edition (August 24, 2011)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B00HCCX2N6
- Text-to-Speech: Enabled
- Lending: Enabled
- Amazon Best Sellers Rank: #166,586 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #8 in Kindle Store > Kindle eBooks > Nonfiction > Professional & Technical > Professional Science > Biological Sciences > Biostatistics
- #24 in Kindle Store > Kindle eBooks > Nonfiction > Professional & Technical > Medical eBooks > Research
Meta-analysis is becoming more and more important in medical research. In my current job I am working on two projects where I am constructing meta-analyses. The pioneering book on this topic was the book by Hedges and Olkin which was the first to put statistical rigor to research synthesis which had previously been done using very ad hoc methods. I have in the past had experience with using published p-values for combination in meta-analysis. It has been more than twenty years since that book came out. You can look a my listmania on meta-analysis to see the various books thyat are currently on the market. Many are theoretical but do not give a good feel for applications. Various approaches have been proposed. There are texts on Bayesian meta-analyse and meta-analyses based on the profile likelihood approach. Some cover p-value combination tests. Some cover special topics such as effect size estimation, mixed modeling approaches.
This book is introductory and is written so clearly that it is useful to research statisticians and novices. Anyone interested in learning about meta-analysis can go to this book and learn a lot from it. Its outstanding features include its organization which divides the text into 10 topicla areas. Each area contains several chapters. Each chapter begins with an introduction and ends with a review of keypoints in bullet form. Key equations are laid out in boxes. The writing is clear and concise. Important concepts are covered first. While the coverage emphasizes methods that combine effect sizes from multiple studies the coverage is very comprehensive and all approaches and issues are touched on or discussed in detail.
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