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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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.
"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
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Librería: Amazing Books Pittsburgh, Pittsburgh, PA, Estados Unidos de America
paperback. Condición: As New. like new EP. Nº de ref. del artículo: D27439
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Condición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc. Nº de ref. del artículo: 00102678260
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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Paperback. Condición: Good. 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-ana. Nº de ref. del artículo: CIN0691137293G
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Librería: Virginia Martin, aka bookwitch, Concord, CA, Estados Unidos de America
Soft cover. Condición: New. Small quarto, softcover, new in green and black wraps. 498 pp. including index. written specifically for ecologists and evolutionary biologists, this is a powerful statistical methodology for synthesizing research evidence across independent studies. It provides an invaluable introduction for beginners as well as a guide for experienced meta-analysts. Nº de ref. del artículo: 90084
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Librería: Labyrinth Books, Princeton, NJ, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 154586
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Librería: Anybook.com, Lincoln, Reino Unido
Condición: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9780691137292. Nº de ref. del artículo: 2294223
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condición: New. 2013. Paperback. Editor(s): Koricheva, Julia; Gurevitch, Jessica; Mengersen, Kerrie. Num Pages: 520 pages, 51 line illus. 45 tables. BIC Classification: PBT; PSAF; PSAJ. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 253 x 177 x 36. Weight in Grams: 1096. . . . . . Nº de ref. del artículo: V9780691137292
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Librería: Andrew Isles Natural History Books, Prahran, VIC, Australia
Large octavo, paperback,498 pp.,black and white illustrations. 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. Nº de ref. del artículo: 35298
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 5439080-n
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Librería: Rarewaves USA, HEBRON, KY, Estados Unidos de America
Paperback. Condición: New. 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. del artículo: LU-9780691137292
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