Survival analysis for breast cancer patients using the cox proportional hazards method

Breast cancer is among the most prevalent cancers in women globally. The prognosis of people with breast cancer is influenced by numerous clinical and demographic factors. This study aims to investigate the factors impacting the survival of patients with breast cancer using the Cox Proportional Hazard approach. This method makes it possible to identify factors that have a significant impact on the probability of death in patients with breast cancer without having certain distributional assumptions for the time-to-event data. Among the information used in this study are the patients’ age, gender, protein expression level, breast cancer stage, and kind of treatment. Each variable’s impact on patient survival was estimated using the Cox Proportional Hazard model. The analysis’s findings show that the kind of treatment has an effect on enhancing patient survival and is substantially linked to the risk of mortality. The AIC value of 412.847 supports the study’s conclusion that the Cox Proportional Hazard approach is useful for assessing breast cancer patients’ survival.