Comprehensive meta analysis manual manual#
This comprehensive manual covers essential concepts, steps, and standards for rigorous research synthesis in ecology and evolutionary biology. "A superb guide to the conduct and interpretation of meta-analysis, from an exceptional team of international experts. Scientists from these areas who already have some knowledge on meta-analysis will find valuable guidance." -Daniela Vetter, Quarterly Review of Biology "his is a comprehensive and up-to-date compendium of all relevant aspects for meta-analysis conduction in ecology, evolution, and related topics. Draws on numerous examples based on real biological datasets.
Comprehensive meta analysis manual how to#
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.Brings together experts from a broad range of fields.Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation.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. 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. 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). The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. 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. Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies.
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