methodological quality. It can arise from selectivepublication of favorable results, or of statistically significantresults. This threatens the validity of conclusions drawn fromreviews of published scientific research. Meta-analysis is now used in numerous scientific disciplines,summarizing quantitative evidence from multiple studies. If theliterature being synthesised has been affected by publication bias,this in turn biases the meta-analytic results, potentiallyproducing overstated conclusions. Publication Bias inMeta-Analysis examines the different types of publication bias,and presents the methods for estimating and reducing publicationbias, or eliminating it altogether.Written by leading experts, adopting a practical andmultidisciplinary approach.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 analysingand reducing publication bias.Accompanied by a website featuring software, data sets andfurther material.Publication Bias in Meta-Analysis adopts aninter-disciplinary approach and will make an excellent referencevolume for any researchers and graduate students who conductsystematic reviews or meta-analyses. University and medicallibraries, as well as pharmaceutical companies and governmentregulatory agencies, will also find this invaluable.

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