Interpretability: RSFs provide variable importance measures, helping researchers identify which factors most influence survival outcomes. Scalability: RSFs can handle large datasets with many variables, making them suitable for modern biomedical research. Flexibility: They do not assume a specific underlying distribution for the survival times, unlike traditional methods like Cox proportional hazards models.
