In epidemiology, bootstrapping is a statistical resampling technique used to estimate the sampling distribution of a statistic by repeatedly resampling with replacement from the original dataset. This method is particularly useful when dealing with small sample sizes or when the theoretical distribution of a statistic is unknown.
