 Repeated median regression

Repeated median regression is a robust statistical method used for estimating the central tendency of a set of data points, specifically when dealing with repeated measures or grouped data. The method is particularly useful in situations where the data may contain outliers or do not meet the assumptions of traditional regression techniques, such as normality. In repeated median regression, the median is computed for each group of repeated measures rather than the mean, which makes this approach less sensitive to extreme values.