The median is essential in epidemiology because it provides a robust measure of the central location of a dataset. Unlike the mean, the median is less affected by outliers and skewed data, making it a more reliable measure in cases where the data distribution is not normal. This characteristic is particularly important when analyzing health outcomes, as these often exhibit skewed distributions.
