Introduction to Meta-Analysis
By: Borenstein, Michael (ed.)
| Hedges, Larry V. (ed.) | Higgings, Julian P.T. (ed.) | Rothstein, Hannah R. (ed.).
Material type: 
BookPublisher: Chichester, U.K., Wiley, 2009Description: 421 pages.ISBN: 0-470-05724-6.Subject(s): data analysis | meta analysis | heterogeneity | models | complex data structuresOnline resources: Publisher's website Summary: 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
| Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| Anthology | Library | C8 130 (Browse shelf) | Available | 106016 |
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
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