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Abstract Details
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Activity Number:
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627
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Nonparametric Statistics
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| Abstract - #306607 |
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Title:
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Mixed Effect Modeling HIV Dynamic Models for Longitudinal Data with Application
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Author(s):
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Jianwei Chen*+ and Boming Fan
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Companies:
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San Diego State University and San Diego State University
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Address:
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, San Diego, CA, 92118, U.S.
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Keywords:
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HIV dynamics ;
Mixed effect modeling ;
Simulation studies ;
Kernal smoothing
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Abstract:
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Mathematical modeling of human immunodeficiency virus (HIV) dynamics has played an important role in AIDS research. Deterministic dynamic models have been developed to study the viral dynamic process for understanding the pathogenesis of HIV-1 infection and antiviral treatment strategies. In this paper we aim to develop new and efficient mixed-effect modeling for HIV dynamics system with sparse individual data in immunologic markers, and to explore estimation methods and inference problems for unknown parameters. We will examine finite sample performance via extensive Monte Carlo simulation studies, and apply the proposed models and methods to analysis of AIDS clinical data.
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Authors who are presenting talks have a * after their name.
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