Bowden J, Jackson D, Thompson SG. Modelling multiple sources of dissemination bias in meta-analysis. Statistics in Medicine 2010;29:945-955. DOI: 10.1002/sim.3813
Asymmetry in the funnel plot for a meta-analysis suggests dissemination bias, perhaps caused by publication bias or selective reporting by authors. Studies with statistically significant results or larger effect sizes are more likely to be published, giving a biased picture of the evidence. Considering a realistic scenario in which multiple processes, involving both authors and journals, statistical methods can be used look for potential effects of multiple biases in meta-analysis.
Asymmetry in the funnel plot for a meta-analysis suggests dissemination bias, perhaps caused by publication bias or selective reporting by authors. Studies with statistically significant results or larger effect sizes are more likely to be published, giving a biased picture of the evidence. Considering a realistic scenario in which multiple processes, involving both authors and journals, statistical methods can be used look for potential effects of multiple biases in meta-analysis.
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