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