Cancer research often involves multiple dependent variables, such as tumor size, patient survival time, and levels of specific biomarkers. Using MANOVA allows researchers to understand how independent variables (e.g., treatment types, demographic factors) affect multiple dependent variables concurrently. This is crucial for gaining a holistic understanding of treatment effectiveness and patient outcomes.
