In cancer studies, patients often undergo multiple treatments or assessments over a period. For example, evaluating tumor size, side effects of chemotherapy, or quality of life at different time points. Repeated Measures ANOVA helps in understanding how these variables change within the same individual, providing a more accurate analysis compared to traditional ANOVA, which might not account for intra-subject variability.
