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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