9781119558354-1119558352-Introduction to Meta-Analysis

Introduction to Meta-Analysis

ISBN-13: 9781119558354
ISBN-10: 1119558352
Edition: 2
Author: Larry V. Hedges, Julian P. T. Higgins, Hannah R. Rothstein, Michael Borenstein
Publication date: 2021
Publisher: Wiley
Format: Hardcover 544 pages
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Book details

ISBN-13: 9781119558354
ISBN-10: 1119558352
Edition: 2
Author: Larry V. Hedges, Julian P. T. Higgins, Hannah R. Rothstein, Michael Borenstein
Publication date: 2021
Publisher: Wiley
Format: Hardcover 544 pages

Summary

Introduction to Meta-Analysis (ISBN-13: 9781119558354 and ISBN-10: 1119558352), written by authors Larry V. Hedges, Julian P. T. Higgins, Hannah R. Rothstein, Michael Borenstein, was published by Wiley in 2021. With an overall rating of 3.7 stars, it's a notable title among other Biology (Biological Sciences) books. You can easily purchase or rent Introduction to Meta-Analysis (Hardcover) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $38.3.

Description

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, 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

 

 

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