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Abstract Details
Activity Number:
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415
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Type:
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Contributed
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Date/Time:
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Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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SSC
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Abstract - #305493 |
Title:
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Two-Step and Likelihood Methods for HIV Viral Dynamic Models with Covariate Measurement Errors and Missing Data
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Author(s):
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Wei Liu*+
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Companies:
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York University
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Address:
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4700 Keele Street, Toronto, ON, M3J 1P3, Canada
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Keywords:
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Cubic spline basis ;
HIV viral dynamic model ;
Longitudinal data ;
Measurement error ;
Missing data
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Abstract:
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HIV viral dynamic models have received much attention in the literature. Long-term viral dynamics may be modelled by semiparametric nonlinear mixed-effects (NLME) models, which incorporate large variation between subjects and auto-correlation within subjects and are flexible in modelling complex viral load trajectories. Time-dependent covariates may be introduced in the dynamic models to partially explain the between individual variations. In the presence of measurement errors and missing data in time-dependent covariates, we show that the commonly used two-step method may give approximately unbiased estimates but may under-estimate standard errors. We propose a two-stage bootstrap method to adjust the standard errors in the two-step method and a likelihood method.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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