Survival analysis is an important branch of real-life applications, especially in cancer research. In this project, the publicly available data of patients with advanced lung cancer from the North Central Cancer Treatment Group will be used. The goals are to explore the data set and identify risk factors associated with overall survival. Summary statistics, graphical illustrations, Kaplan-Meier curves, univariable and multivariable Cox regression will be generated. This will allow the scientific community to better understand the risks and potential prevention of lung cancer.