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Handbook of Meta-Analysis in Ecology and Evolution, Hardback Book

Handbook of Meta-Analysis in Ecology and Evolution Hardback

Edited by Julia Koricheva, Jessica Gurevitch, Kerrie Mengersen


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


  • Format: Hardback
  • Pages: 520 pages, 51 line illus. 45 tables.
  • Publisher: Princeton University Press
  • Publication Date:
  • Category: Probability & statistics
  • ISBN: 9780691137285



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