When evaluating a funnel plot, one of the most basic assumptions is that it should be symmetrical, meaning that the effect sizes of the studies should be evenly distributed and that their ...
For health performance indicators derived from skewed distributions, funnel plots designed with symmetric control limits may increase the risk of false alarms about poor performance. Aim To ...
Find expert answers in this collaborative article The first step is to visually inspect the funnel plot for asymmetry, which indicates the presence of publication bias. A symmetrical funnel plot ...
On occasion, we find patterns in statistical noise that lead us to incorrect conclusions about the underlying data. The funnel plot helps you compare samples, and find true outliers among the ...