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DC Field | Value | Language |
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dc.contributor.author | Li Su | - |
dc.contributor.author | Hogan, Joseph W. | - |
dc.date.accessioned | 2020-09-21T07:50:10Z | - |
dc.date.available | 2020-09-21T07:50:10Z | - |
dc.date.issued | 2011 | - |
dc.identifier.uri | http://ir.mu.ac.ke:8080/jspui/handle/123456789/3472 | - |
dc.description.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 de- sign. For example, the elimination process of plasma virus during treatment is closely monitored with daily assessments in viral dy- namics 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 ac- complished 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 meth- ods and data from the HIV Epidemiology Research Study (HERS) to investigate the effect of HCV coinfection on the response to HAART. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Ampath | en_US |
dc.subject | HIV dynamics | en_US |
dc.title | HIV dynamics and natural history studies: Joint modeling with doubly interval- censored event time and infrequent longitudinal data | en_US |
dc.type | Article | en_US |
Appears in Collections: | School of Medicine |
Files in This Item:
File | Description | Size | Format | |
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Su, L..pdf | 668.31 kB | Adobe PDF | View/Open |
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