Effect of Risk and Prognosis Factors on Breast Cancer Survival: Study of a Large Dataset with a Long Term Follow-up

• Main Author: Wang, Hongwei
• Format: Others
• Published: Digital Archive @ GSU 2012
• Subjects: SEER; Breast cancer; Risk factors; Survival; Cox regression model; Logistic regression analysis
• Online Access: http://digitalarchive.gsu.edu/math_theses/116; http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1117&context=math_theses

The main goal of this study is to seek the effects of some risk and prognostic factors contributing to survival of female invasive breast cancer in United States. The study presents the survival analysis for the adult female invasive breast cancer based on the datasets chosen from the Surveillance Epidemiology and End Results (SEER) program of National Cancer Institute (NCI). In this study, the Cox proportional hazard regression model and logistic regression model were employed for statistical analysis. The odds ratios (OR), hazard ratios (HR) and confidence interval (C.I.) were obtained for the risk and prognosis factors. The study results showed that some risk and prognosis factors, such as the demographic factors (race and age), social and family factor (marital status), biomedical factors (tumor size, disease stage, tumor markers and tumor cell differentiation level etc.) and type of treatment patients received had significant effects on survival of the female invasive breast cancer patients.