Breast cancer remains a significant global health concern, and understanding the factors influencing relapse time is crucial for treatment planning and patient management. This study presents a comparative analysis of breast cancer relapse time across different treatments using statistical modeling techniques. Data from patients who underwent various treatment regimens were analyzed to identify factors associated with relapse time. Cox proportional hazards models were employed to assess the impact of treatment type, patient demographics, tumor characteristics, and other clinical variables on relapse time. The findings provide valuable insights into the effectiveness of different treatment modalities and their influence on breast cancer recurrence.