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Activity Number:
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83
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Type:
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Invited
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Date/Time:
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Monday, July 30, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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| Abstract - #308073 |
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Title:
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Varying Coefficient Cox Model with Nonparametric Longitudinal Covariates
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Author(s):
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Jimin Ding*+ and Jane-Ling Wang
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Companies:
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Washington University in St. Louis and University of California, Davis
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Address:
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One Brookings Dr. Cupple I, Saint Louis, MO, 63130,
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Keywords:
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Survival data ; Longitudinal data ; Cox Model ; Time-varying coefficent ; Joint modelling
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Abstract:
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In biomedical and clinic studies, time to some interesting events is usually recorded together with longitudinal covariates for each subject. The goal is not only to study the influence of covariates on survival time but also the pattern of longitudinal covariates. Joint modeling of the longitudinal and survival data has emerged an effective way to gain information for both processes and will be studied here. We propose to use the Cox model with time-varying coefficients to link longitudinal covariates and survival time and investigate the possible time-dependent survival regression effect. Considering longitudinal covariates are often measured intermittently and may contain measurement errors, we will estimate unobservable longitudinal process together with time-varying coefficients in the joint modeling setting.
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