1141-Rachel Lipson

Predicting Ovarian Cancer Survival Times: Performance of Parametric Methods and Random Survival Forests

This project is an exploration of the performance of parametric and non-parametric methods in predicting time to recurrence and time to death in late stage ovarian cancer patients. The Weibull survival model is a common parametric method, and is fit to the data for both death and recurrence, while Ishwaran & Kogalur's method of fitting random survival forests (2008) will be employed as a non-parametric method. Performance of these models will be evaluated using Harrell's C-index and Lawless & Yuan's cross-validation estimator (2010).