Leseprobe
* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Handbook of Meta-analysis in Ecology and Evolution
Kerrie Mengersen (Hrsg.), Jessica Gurevitch (Hrsg.), Julia Koricheva (Hrsg.)
* Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.
Naturwissenschaften, Medizin, Informatik, Technik / ÷kologie
Beschreibung
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
Kundenbewertungen
Test theory, Bayesian inference, Consolidated Standards of Reporting Trials, Biodiversity, Observational study, Natural experiment, Biological constraints, Ecosystem ecology, Empirical Bayes method, Environmental impact statement, Meta-regression, Randomized controlled trial, Quantification (science), Diagram (category theory), Evolutionary biology, Applied ecology, Biomass (ecology), Effect size, Epidemiology, Conservation biology, Variance, Biologist, National Center for Ecological Analysis and Synthesis, Phylogenetic comparative methods, Phylogenetic tree, Behavioral ecology, Statistical significance, Post hoc analysis, Result, Estimation, Ecological threshold, Metabolic theory of ecology, Covariate, The Design of Experiments, Taxonomy (biology), Ranking (information retrieval), Sample Size, Fitness (biology), Environmental policy, Environmental science, Biological Abstracts, BIOSIS Previews, Publication bias, Candidate gene, Design of experiments, Ecotype, Comparative biology, Model checking, Order (biology), Meta-analysis, Marine Ecology Progress Series, Accession number (bioinformatics), Ecological fallacy, Factorial experiment, Phylogenetics, Sensitivity analysis, Genetic association, Gibbs sampling, General linear model, Exploratory data analysis, Polymorphism (biology), Biological rules, Ecology, Ecological study, Environmental issue, Pesticide application, Funnel plot, Study heterogeneity, Field experiment, Model organism