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Contour–enhanced funnel plots for meta–analysis AgEcon
Palmer, Tom M.; Peters, Jaime L.; Sutton, Alex J.; Moreno, Santiago G..
Funnel plots are commonly used to investigate publication and related biases in meta-analysis. Although asymmetry in the appearance of a funnel plot is often interpreted as being caused by publication bias, in reality the asymmetry could be due to other factors that cause systematic differences in the results of large and small studies, for example, confounding factors such as differential study quality. Funnel plots can be enhanced by adding contours of statistical significance to aid in interpreting the funnel plot. If studies appear to be missing in areas of low statistical significance, then it is possible that the asymmetry is due to publication bias. If studies appear to be missing in areas of high statistical significance, then publication bias is a...
Tipo: Article Palavras-chave: Confunnel; Funnel plots; Meta-analysis; Publication bias; Small-study effects; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/122589
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Funnel plots in meta-analysis AgEcon
Sterne, Jonathan A.C.; Harbord, Roger M..
Funnel plots are a visual tool for investigating publication and other bias in meta-analysis. They are simple scatterplots of the treatment effects estimated from individual studies (horizontal axis) against a measure of study size (vertical axis). The name “funnel plot” is based on the precision in the estimation of the underlying treatment effect increasing as the sample size of component studies increases. Therefore, in the absence of bias, results from small studies will scatter widely at the bottom of the graph, with the spread narrowing among larger studies. Publication bias (the association of publication probability with the statistical significance of study results) may lead to asymmetrical funnel plots. It is, however, important to realize that...
Tipo: Journal Article Palavras-chave: Metafunnel; Funnel plots; Meta-analysis; Publication bias; Small-study effects; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116233
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