In statistics, a Galbraith plot (also known as Galbraith's radial plot or just radial plot), is one way of displaying several estimates of the same quantity that have different standard errors. ^{[1]} It can be used to examine heterogeneity in a metaanalysis, as an alternative or supplement to a forest plot.
A Galbraith plot is produced by first calculating the standardized estimates or zstatistics by dividing each estimate by its standard error (SE). The Galbraith plot is then a scatter plot of each zstatistic (vertical axis) against 1/SE (horizontal axis). Larger studies (with smaller SE and larger 1/SE) will be observed to aggregate away from the origin.^{[2]}
