Publication bias is the tendency to decide to publish a study based
on the results of the study, rather than on the basis of its
theoretical or methodological quality. It can arise from selective
publication of favorable results, or of statistically significant
results. This threatens the validity of conclusions drawn from
reviews of published scientific research.
Meta-analysis is now used in numerous scientific disciplines,
summarizing quantitative evidence from multiple studies. If the
literature being synthesised has been affected by publication bias,
this in turn biases the meta-analytic results, potentially
producing overstated conclusions. "Publication Bias in
Meta-Analysis" examines the different types of publication bias,
and presents the methods for estimating and reducing publication
bias, or eliminating it altogether.
Written by leading experts, adopting a practical and
Provides comprehensive coverage of the topic including:
Different types of publication bias, Mechanisms that may induce
them, Empirical evidence for their existence, Statistical methods
to address them, Ways in which they can be avoided.Features worked
examples and common data sets throughout.Explains and compares all
available software used for analysing and reducing publication
bias.Accompanied by a website featuring software, data sets and
"Publication Bias in Meta-Analysis" adopts an inter-disciplinary
approach and will make an excellent reference volume for any
researchers and graduate students who conduct systematic reviews or
meta-analyses. University and medical libraries, as well as
pharmaceutical companies and government regulatory agencies, will
also find this invaluable.
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