Handbook of Meta-analysis in Ecology and Evolution

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9780691137292: Handbook of Meta-analysis in Ecology and Evolution

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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From the Inside Flap:


"A superb guide to the conduct and interpretation of meta-analysis, from an exceptional team of international experts. This comprehensive manual covers essential concepts, steps, and standards for rigorous research synthesis in ecology and evolutionary biology. Its clear prose, helpful illustrations, and worked examples will be useful for beginners and experts alike. Highly recommended for use as a textbook or for self-study."--Julia Littell, Bryn Mawr College, coauthor of Systematic Reviews and Meta-Analysis


"This is a well-written and valuable book, one that is unique within biology. The use of meta-analysis in ecology and evolution has reached the point where there is a need for a comprehensive, single-volume text such as this."--Samuel M. Scheiner, coeditor of The Theory of Ecology


"This book provides readers with a complete picture of the state of meta-analysis in ecology, evolution, and conservation biology today. It will help to raise the bar on the quality of meta-analytical research in the field, as well as improving research synthesis in general. This is the first book on the subject written for ecologists and environmental scientists."--Michael Dietze, Boston University


About the Author:

Julia Koricheva is Professor of Ecology at Royal Holloway, University of London. Jessica Gurevitch is Professor of Ecology and Evolution at Stony Brook University, State University of New York. Kerrie Mengersen is Research Professor of Statistics at Queensland University of Technology.

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Descripción Princeton University Press, United States, 2013. Paperback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería AAZ9780691137292

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Editorial: Princeton University Press, United States (2013)
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Descripción Princeton University Press, United States, 2013. Paperback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería AAZ9780691137292

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