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Brain Cancer Survival

Anthony Young, Daniel Cerkoney


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.

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