Handbook of Meta-Analysis in Ecology and Evolution

520 Seiten, Hardcover

Kurzbeschreibung des Verlags

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

• Themen: Mathematik und Naturwissenschaften Biologie, Biowissenschaften Biowissenschaften, allgemein Evolution / Evolutionsbiologie
• ISBN: 9780691137285
• Sprache: Englisch
• Erscheinungsdatum: 21.04.2013
• Größe: 261 x 184 mm
• Verlag: Princeton University Press
• Herausgegeben von: Julia Koricheva, Kerrie Mengersen, Jessica Gurevitch