2016/02/16_Luis F. Meira Machado (University of Minho, Portugal)

Comparison of the c-index and CPE indexes in the polycothomisation of continuous predictors in a Cox Proportional Hazards Model

2016/02/16 – 12:00 h | Luis F. Meira Machado, Department of Mathematics and Applications, University of Minho

Abstract

The Cox proportional hazards model is the most common survival prediction model for the analysis of time to event data. In medical research, a common strategy when developing survival models is to categorise continuous covariates. However, agreement on criteria to select cut points does not always exist. Previous work on the estimation of optimal cut points in the presence of censored data has been done but with the aim of seeking for a unique cut point (Gönen and Sima, 2013). In this work, we extend the proposal by Gönen and Sima (2013) to the categorisation of continuous predictors in more than only two categories.