 Proportional meta-analysis is a type of meta-analysis used to compare the effectiveness of different treatments within a single study. It is often used when comparing multiple studies with a single outcome measure, such as when comparing the effects of different medicines on a particular disease. The goal of proportional meta-analysis is to estimate the overall effect size of all studies combined, while accounting for differences between individual studies. This allows for a more accurate comparison of the relative effectiveness of different treatments than traditional meta-analysis, which only considers the average effect size across all studies. This article was authored by Timothy Hugh Barker, Selena Borges-Migliavaca, Senara Stein, and others.