Resampling methods are employed to estimate the sampling distribution of a statistic, assess the accuracy of sample estimates, and improve the robustness of epidemiological models. They are particularly advantageous when dealing with complex datasets, small sample sizes, or when assumptions about the underlying population distribution are difficult to justify.
