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Activity Number: 54 - Methods and Modeling for Medical Device and Clinical Studies
Type: Contributed
Date/Time: Monday, August 3, 2020 : 10:00 AM to 2:00 PM
Sponsor: Section on Medical Devices and Diagnostics
Abstract #313159
Title: Additive Functional Cox Model
Author(s): Erjia Cui* and Andrew Leroux and Ciprian Crainiceanu
Companies: Johns Hopkins University and Johns Hopkins University and Johns Hopkins University
Keywords: accelerometry; functional data; survival analysis; wearable devices

We propose the Additive Functional Cox Model to ?exibly quantify the association between functional covariates and time to event data. The model extends the linear functional proportional hazards model and introduces ?exible transformations of the functional covariates to address the weak model identi?ability in areas of information sparsity. Methods are applied to the National Health and Nutrition Examination Survey (NHANES) and quantify new and interpretable patterns of physical activity that are associated with time to death. We also introduce a simple and novel sim- ulation framework for survival data with functional predictors. The accompanying inferential R software is fast, open source and publicly available.

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

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