Meta-analysis with r, Schwarzer, Guido Carpenter, James R. Rucker, Gerta

Автор: Kulinskaya, E Morgenthaler, Stephan Staudte, Rober
Название: Meta analysis
ISBN: 0470028645 ISBN-13(EAN): 9780470028643
Издательство: Wiley
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Цена: 10130.00 р.
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Описание: Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts - The Handbook, and The Theory.

Автор: Cooper Harris M.
Название: Research Synthesis and Meta-Analysis: A Step-By-Step Approach
ISBN: 1483331156 ISBN-13(EAN): 9781483331157
Издательство: Sage Publications
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Цена: 13306.00 р.
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Описание: Providing readers with an introduction to how to conduct a research synthesis of literature, this Fifth Edition has new material on the use of the internet and other new developments in technology, including new statistics for describing meta-analytic results

Автор: Koricheva Julia
Название: Handbook of Meta-Analysis in Ecology and Evolution
ISBN: 0691137293 ISBN-13(EAN): 9780691137292
Издательство: Wiley
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Цена: 12355.00 р.
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Описание: "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 "--