Non-parametric techniques are statistical methods that do not assume a specific distribution for the data. These methods are particularly useful when dealing with skewed distributions, outliers, and small sample sizes. In epidemiological studies, non-parametric methods can be applied to compare groups, assess relationships, and test hypotheses without the stringent requirements of parametric tests.
