Abstract
Abstract Asymmetry in the funnel plot for a meta‐analysis suggests the presence of dissemination bias. This may be caused by publication bias through the decisions of journal editors, by selective reporting of research results by authors or by a combination of both. Typically, study results that are statistically significant or have larger estimated effect sizes are more likely to appear in the published literature, hence giving a biased picture of the evidence‐base. Previous statistical approaches for addressing dissemination bias have assumed only a single selection mechanism. Here we consider a more realistic scenario in which multiple dissemination processes, involving both the publishing authors and journals, are operating. In practical applications, the methods can be used to provide sensitivity analyses for the potential effects of multiple dissemination biases operating in meta‐analysis. Copyright © 2010 John Wiley & Sons, Ltd.
Keywords
Funnel plotPublication biasMeta-analysisSelection biasComputer scienceDisseminationEconometricsPublishingInformation DisseminationStatisticsSelection (genetic algorithm)MathematicsMedicineTelecommunicationsWorld Wide WebMachine learningPolitical science
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Publication Info
- Year
- 2010
- Type
- article
- Volume
- 29
- Issue
- 7-8
- Pages
- 945-955
- Citations
- 16
- Access
- Closed
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Cite This
Jack Bowden,
Dan Jackson,
Simon G. Thompson
(2010).
Modelling multiple sources of dissemination bias in meta‐analysis.
Statistics in Medicine
, 29
(7-8)
, 945-955.
https://doi.org/10.1002/sim.3813
Identifiers
- DOI
- 10.1002/sim.3813