International Science and Technology Journal

This study aimed at determining survival of female breast cancer patients in Libya by estimating their Survival Function using Kaplan-Meyer method. The study also explored correlation of this cancer with personal and pathologic characteristics of patients using Chi-Squared Test of Independence. Further, the study employed the Log-Rank Test to identify personal and pathologic factors affecting breast cancer. Then, this study developed multiple linear regression model that predicts probability of death of breast cancer patients based on their pathologic characteristics using Cox Model. The data were collected from records of breast cancer patients in the Radiology Department at Tripoli Medical Center during the period 2016-2021, who were 142 patients. Results of Survival Analysis showed that time to event was 77 months. Analysis revealed that probability of survival of breast cancer patients was higher if tumor was in the right breast than if it were in the left breast or in both breasts. In addition, the study found that probability of survival is higher for patients who received surgery and chemotherapy than for those who received radiotherapy and chemotherapy. Results of Cox regression analysis uncovered that the variables affecting risk of relapse the most are place of tumor and surgery type. Keywords: survival function - Kaplan-Meyer, logarithm test, Cox regression model.