In epidemiology, researchers often deal with longitudinal studies where the same individuals are observed at multiple time points. This could be to monitor the progression of a disease, the impact of a treatment, or changes in health behaviors. Repeated Measures ANOVA is particularly useful because it accounts for the correlation between these repeated observations, thus providing more accurate and reliable results compared to traditional ANOVA.
