The aim of this project is to study factors contributing to the survival of cancer patients in the US. To that end, we used Kaplan-Meier estimation and Cox proportional hazards regression to analyze all brain tumor cases in the surveillance, epidemiology, and end results (SEER) database from 2000–2020. Data cleaning and pre-processing and the train-test split were performed using scikit-learn, while the lifelines library was used to fit the survival models.