Non-parametric methods are statistical techniques that do not assume a specific distribution for the data. These methods are particularly useful when dealing with small sample sizes or when the data do not meet the assumptions required for parametric tests. In the field of epidemiology, non-parametric methods can be highly valuable for analyzing data that are skewed, ordinal, or not normally distributed.
