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We use a funnel plot to explore bias.
We did not use a funnel plot because of the limited number of included studies.
Provided there are a sufficient number of studies we will use a funnel plot to assess the risk of publication bias.
10 We aimed to use a funnel plot and asymmetry testing to assess publication bias provided that there were more than 10 studies in the meta-analysis, and the absence of significant heterogeneity.
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You'll learn how to weigh the results of competing trials using a funnel plot, the value of meta-analysis and the Cochrane Collaboration.
Publication bias was addressed visually using a funnel plot.
In the event of using a funnel plot, we will interpret results cautiously using visual inspection.
Publication and small study bias was assessed using a funnel plot.
We will assess publication bias and small-study effects using a funnel plot.
Publication bias was evaluated using a funnel plot of a trial's effect size against the standard error.
Therefore, publication bias was tested by exploring the data graphically using a funnel plot [37] plotting the effect size for each case against its sample size.
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