Publication bias in comprehensive meta analysis
- Publication bias in comprehensive meta analysis how to#
- Publication bias in comprehensive meta analysis software#
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Publication bias in comprehensive meta analysis how to#
Publication bias in comprehensive meta analysis software#
Explains and compares all available software used for analysing and reducing publication bias. Features worked examples and common data sets throughout. 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. Written by leading experts, adopting a practical and multidisciplinary approach.
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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. If the literature being synthesised has been affected by publication bias, this in turn biases the meta-analytic results, potentially producing overstated conclusions. Meta-analysis is now used in numerous scientific disciplines, summarizing quantitative evidence from multiple studies. This threatens the validity of conclusions drawn from reviews of published scientific research. It can arise from selective publication of favorable results, or of statistically significant results. 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.