funnel plot

funnel plot

a graphic method of detecting publication bias. The estimate of risk derived from a set of epidemiologic studies used in a metaanalysis is plotted against sample size. If there is no publication bias, the plot is funnel-shaped; if studies giving significant results are more likely to be published than negative studies, the plot is asymmetric.
See also: metaanalysis.
A scatterplot of treatment effect against a measure of study size used primarily as a visual aid for detecting bias or systematic heterogeneity. A symmetric inverted funnel shape is seen in ‘well-behaved’ data for which publication bias is unlikely and which is thus suited for inclusion in a meta-analysis. An asymmetric funnel indicates a relationship between treatment effect and study size, due either to publication bias or a systematic difference between smaller and larger studies—‘small study effects’

fun·nel plot

(fŭn'ĕl plot)
A graphic method of detecting publication bias. The estimate of risk derived from a set of epidemiologic studies used in a metaanalysis is plotted against sample size. If there is no publication bias, the plot is funnel shaped; if studies giving significant results are more likely to be published than negative studies, the plot is asymmetric.
See also: metaanalysis
References in periodicals archive ?
Nevertheless, this funnel plot does not indicate "strongly suspected" publication bias.
Moreover, the publication bias in the full database were assessed using Egger's regression test for funnel plot asymmetry [31].
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials.
A funnel plot and Egger's tests were applied to evaluate publication bias across studies (a value of P < 0.
Whereas the funnel plot relies on the meta-analysis' qualitative interpretation of plot symmetry, statistical procedures can test for asymmetry.
Multiple methods for assessing publication bias should be undertaken (Beretvas, 2010) in meta-analytic studies, and we subjected each design result to Duval and Tweedie's (2000; Richardson, Abraham, & Bond, 2012) trim-and-fill procedure, funnel plot analysis, and Rosenthal's (1979) fail-safe N.
What terms from the following list do you know sufficiently: standard deviation, sedimentation graph, forest plot, ANOVA, funnel plot, correlation, metaanalysis, regression analysis, ES".
The risk of publication bias was assessed by examining funnel plot asymmetry as well as Begg test and Egger test.
Caption: FIGURE 3: Funnel plot in the meta-analysis demonstrating that there was no obvious indication of publication bias.