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Activity Number:
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24
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Type:
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Contributed
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Date/Time:
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Sunday, July 29, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #309150 |
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Title:
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Self-Reported Behavior of High-Risk HIV+ Youth: Random Effects Models for Multivariate Longitudinal Discrete Data
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Author(s):
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Lily Altstein*+
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Companies:
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University of California, Los Angeles
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Address:
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825 Weyburn Terrace, Los Angeles, CA, 90024,
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Keywords:
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Multivariate categorical data ; Bayesian methods ; Behavioral intervention ; Sero-status disclosure
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Abstract:
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This analysis applies generalized linear mixed models to analyze longitudinal data from an interventional study encouraging HIV positive adolescents to attenuate high risk sexual behavior. Multivariate outcomes of interest include number of sex partners, type of partner, and the frequency at which the subject disclosed his HIV status. Bayesian methods are used to estimate the effect of the intervention on safe sex behavior over time.
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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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