Gurland Mediation

Gurland Mediation is a technique used in statistics to improve the accuracy of combining multiple studies' results. When different studies report varying findings, Gurland Mediation adjusts their data by accounting for differences—like measurement methods or sample populations—aiming for a more reliable overall estimate. It achieves this by applying a special transformation to each study's result, reducing the influence of outliers and heterogeneity, leading to a more balanced and meaningful summary. Essentially, it's a way to synthesize diverse data more effectively, providing clearer insights from multiple sources.