Why is Spearman's Rank Correlation Used in Epidemiology?
Epidemiologists frequently encounter data that are not normally distributed or that do not meet the assumptions required for parametric tests. Spearman's rank correlation is especially useful when dealing with ordinal data, non-linear relationships, or skewed data. It allows researchers to identify associations between variables such as disease incidence and various risk factors without the constraints of parametric methods.
