作者:
关键词: Evolutionary biology 、 Data quality 、 Bayesian probability 、 Software 、 Data science 、 Computer science 、 Missing data 、 Resource (project management) 、 Range (mathematics) 、 Evolutionary ecology 、 Presentation
摘要: "Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This the first comprehensive handbook of meta-analysis written specifically ecologists and evolutionary biologists, it provides an invaluable introduction beginners as well up-to-date guide experienced meta-analysts. The chapters, by renowned experts, walk readers through every step meta-analysis, from problem formulation to presentation results. identifies both advantages using synthesis potential pitfalls limitations (including when should not be used). Different approaches carrying out are described, include moment least-square, maximum likelihood, Bayesian approaches, all illustrated worked examples based on real biological datasets. one-of-a-kind resource uniquely tailored sciences, will provide text practitioners graduate students senior scientists policymakers in conservation environmental management. Walks you ecology biology, result Brings together experts broad range fields Shows how avoid, minimize, or resolve such missing data, publication bias, varying data quality, nonindependence observations, phylogenetic dependencies among species Helps choose right software Draws numerous datasets "--