Open Access
Translator Disclaimer
March 2011 HIV dynamics and natural history studies: Joint modeling with doubly interval-censored event time and infrequent longitudinal data
Li Su, Joseph W. Hogan
Ann. Appl. Stat. 5(1): 400-426 (March 2011). DOI: 10.1214/10-AOAS391

Abstract

Hepatitis C virus (HCV) coinfection has become one of the most challenging clinical situations to manage in HIV-infected patients. Recently the effect of HCV coinfection on HIV dynamics following initiation of highly active antiretroviral therapy (HAART) has drawn considerable attention. Post-HAART HIV dynamics are commonly studied in short-term clinical trials with frequent data collection design. For example, the elimination process of plasma virus during treatment is closely monitored with daily assessments in viral dynamics studies of AIDS clinical trials. In this article instead we use infrequent cohort data from long-term natural history studies and develop a model for characterizing post-HAART HIV dynamics and their associations with HCV coinfection. Specifically, we propose a joint model for doubly interval-censored data for the time between HAART initiation and viral suppression, and the longitudinal CD4 count measurements relative to the viral suppression. Inference is accomplished using a fully Bayesian approach. Doubly interval-censored data are modeled semiparametrically by Dirichlet process priors and Bayesian penalized splines are used for modeling population-level and individual-level mean CD4 count profiles. We use the proposed methods and data from the HIV Epidemiology Research Study (HERS) to investigate the effect of HCV coinfection on the response to HAART.

Citation

Download Citation

Li Su. Joseph W. Hogan. "HIV dynamics and natural history studies: Joint modeling with doubly interval-censored event time and infrequent longitudinal data." Ann. Appl. Stat. 5 (1) 400 - 426, March 2011. https://doi.org/10.1214/10-AOAS391

Information

Published: March 2011
First available in Project Euclid: 21 March 2011

zbMATH: 1220.62143
MathSciNet: MR2810403
Digital Object Identifier: 10.1214/10-AOAS391

Keywords: AIDS , antiviral treatment , interval censoring , semiparametric regression

Rights: Copyright © 2011 Institute of Mathematical Statistics

JOURNAL ARTICLE
27 PAGES


SHARE
Vol.5 • No. 1 • March 2011
Back to Top