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In statistics, a Galbraith plot is one way of displaying several estimates of the same quantity that have different standard errors.
It can be used to examine heterogeneity in a meta-analysis, as an alternative or supplement to a forest plot.
A Galbraith plot is produced by first calculating the standardized estimates or z-statistics by dividing each estimate by its standard error. The Galbraith plot is then a scatter plot of each z-statistic against 1/SE. Larger studies will be observed to aggregate away from the origin.
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