Exploration and Assessment of Critical Covariates of Breast Cancer Outcomes via Between-Group Test of Survival Rates at Sir Run Run Shaw Hospital

Breast cancer, being the most pervasive malignancy globally, poses a substantial threat to the well-being of the female population. Given the pronounced heterogeneity in survival times among affected individuals, a comprehensive examination of the factors governing treatment outcomes becomes imperative. Leveraging a sizable dataset comprising 2,757 breast cancer patients from Sir Run Run Shaw Hospital, the current study endeavors to assess the foremost covariates influencing the survival outcomes in breast cancer through survival analysis. The analytical framework commences with the application of Kendall analysis to effectuate dimensionality reduction on the dataset. Subsequently, an overarching survival analysis encompassing the pertinent factors is carried out, followed by a series of individual factor-specific survival assessments. Lastly, the results are visualised and discussed. The primary objective of this study is to evaluate the crucial covariates by employing a between-group test of survival rates.