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Activity Number: 417 - Recent advancement on life time data analysis
Type: Contributed
Date/Time: Thursday, August 12, 2021 : 2:00 PM to 3:50 PM
Sponsor: Lifetime Data Science Section
Abstract #318141
Title: Optimal Partitioning for the Proportional Hazards Model
Author(s): Usha Govindarajulu* and Thaddeus Tarpey
Companies: Ichan School of Medicine at Mount Sinai and NYU
Keywords: clustering; survival analysis; discretize; stratification; proportional hazards; moderator analysis

This paper discusses methods for clustering a continuous covariate in a survival analysis model. The advantages of using a categorical covariate defined from discretizing a continuous covariate (via clustering) is (i) enhanced interpretability of the covariate’s impact on survival and (ii) relaxing model assumptions that are usually required for survival models, such as the proportional hazards model. Simulations and an example are provided to illustrate the methods.

Authors who are presenting talks have a * after their name.

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