Abstract

Breast cancer is the second leading cause of death in women, despite breakthroughs in cancer treatment. Breast cancer is the most commonly diagnosed malignant tumour in Western women, affecting roughly 1.7 million people worldwide each year. One of the most often used strategies for assessing survival data is the Cox model. However, parametric approaches may yield better predictions in some cases. A Weibull parametric model was used to analyse possible prognostic markers that may affect the survival of breast cancer patients in this study. The association between breast cancer patient variables and time to death, and the determination of power in the cancer patient’s conditional inference tree, was evaluated using a semi parametric survival analysis approach. This study presents a promising scenario for the use of immunotherapy to treat patients with HER2 over expression. More research might be done to see how successful immunotherapy is in patients with various diseases, in order to improve their prognosis and quality of life.