9780691137292-0691137293-Handbook of Meta-analysis in Ecology and Evolution

Handbook of Meta-analysis in Ecology and Evolution

ISBN-13: 9780691137292
ISBN-10: 0691137293
Edition: 2013
Author: Jessica Gurevitch, Kerrie Mengersen, Julia Koricheva
Publication date: 2013
Publisher: Princeton University Press
Format: Paperback 520 pages
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Book details

ISBN-13: 9780691137292
ISBN-10: 0691137293
Edition: 2013
Author: Jessica Gurevitch, Kerrie Mengersen, Julia Koricheva
Publication date: 2013
Publisher: Princeton University Press
Format: Paperback 520 pages

Summary

Handbook of Meta-analysis in Ecology and Evolution (ISBN-13: 9780691137292 and ISBN-10: 0691137293), written by authors Jessica Gurevitch, Kerrie Mengersen, Julia Koricheva, was published by Princeton University Press in 2013. With an overall rating of 4.0 stars, it's a notable title among other Biological Sciences books. You can easily purchase or rent Handbook of Meta-analysis in Ecology and Evolution (Paperback) from BooksRun, along with many other new and used Biological Sciences books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.62.

Description

Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts.


The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management.


  • Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation

  • Brings together experts from a broad range of fields

  • Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species

  • Helps you choose the right software

  • Draws on numerous examples based on real biological datasets

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