Introduction to Meta-Analysis

Synopsis

The new edition of the market-leading textbook, covering the latest developments in the rapidly growing field of meta-analysis  This book provides 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, reporting the Knapp-Hartung Sidik-Jonkman adjustment, 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 of 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  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) ™ 

Book details

Edition:

2

Author:

Michael Borenstein, Larry V. Hedges, Julian P. Higgins, Hannah R. Rothstein

ISBN:

9781119558385

Related ISBNs:

9781119558354, 9781119558378

Publisher:

Wiley

Pages:

544

Reading age:

Not specified

Includes images:

No

Date of addition:

2021-04-08

Usage restrictions:

Copyright

Copyright date:

2021

Copyright by:

N/A 

Adult content:

No

Language:

English

Categories:

Mathematics and Statistics, Medicine, Nonfiction