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Activity Number:
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387
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #309576 |
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Title:
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HIV Dynamics and Natural History Studies: Joint Modeling with Interval-Censored Event Times and Sparse Longitudinal Data
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Author(s):
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Li Su*+ and Joseph W. Hogan
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Companies:
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Brown University and Brown University
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Address:
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121 South Main Street, Providence, RI, 02912,
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Keywords:
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HIV/AIDS ; HCV ; Antiviral treatment ; Viral dynamics ; Penalized splines ; Bayesian methods
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Abstract:
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The effect of HCV coinfection on post-HAART HIV dynamics has drawn considerable attention of researchers recently. In this article we develop a model for characterizing post-HAART HIV dynamics and their association with HCV coinfection using sparse cohort data from natural history studies. We propose a joint model for three processes: time from enrollment to HAART initiation, time from HAART initiation to viral suppression, and evolution of CD4 counts relative to viral suppression time. Inference is accomplished using a fully Bayesian approach. Interval-censored event times are modeled semiparametrically by Dirichlet process priors. Bayesian penalized splines are used for modeling population-level and individual-level CD4 count profiles. We use proposed methods and data from HIV Epidemiology Research Study to investigate the effect of HCV coinfection on the response to HAART.
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