2005
DOI: 10.1016/j.jclinepi.2005.01.006
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In an empirical evaluation of the funnel plot, researchers could not visually identify publication bias

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Cited by 437 publications
(336 citation statements)
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References 49 publications
(72 reference statements)
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“…Statistical tests to identify this bias are unreliable in the presence of a small number of studies, as is the case with most of our outcomes. [20][21][22] Lastly, systematically searching the literature is not a standardized undertaking. We attempted to complete an inclusive search strategy and identify all relevant articles by working with an expert in library sciences.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Statistical tests to identify this bias are unreliable in the presence of a small number of studies, as is the case with most of our outcomes. [20][21][22] Lastly, systematically searching the literature is not a standardized undertaking. We attempted to complete an inclusive search strategy and identify all relevant articles by working with an expert in library sciences.…”
Section: Discussionmentioning
confidence: 99%
“…If we perceived an outlier with a significant methodological difference that might explain the heterogeneity, we performed a sensitivity analysis excluding this outlier study. Publication bias was formally assessed with Egger's test 19 for all outcomes included in at least ten studies [20][21][22] using the comprehensive meta-analysis software, version 2.0.…”
Section: Data Extraction and Assessmentmentioning
confidence: 99%
“…If this is the case, the plot will have a symmetric, inverted funnel shape. If publication bias is present, the left base of the plot will disappear and the plot is asymmetric and skewed (Terrin et al, 2005). Symmetry and shape of the funnel plots were determined by means of visual inspection.…”
Section: Discussionmentioning
confidence: 99%
“…This approach is based on the assumption that, in the absence of publication or availability bias, average effect size is expected to be similar in small-and large-sample studies, but vary more in smaller studies due to a greater influence of sampling error (74). Because it may be difficult to correctly identify publication bias from visual inspection of funnel plots (78), I used the funnel plot data to test for a relationship between effect size and sample size (log number of replicates) with regression analysis.…”
Section: Methodsmentioning
confidence: 99%