Adams BM, Banks HT, Davidian M, Rosenberg ES. Estimation and prediction with HIV-treatment interruption data.
Bull Math Biol 2007;
69:563-84. [PMID:
17211735 DOI:
10.1007/s11538-006-9140-6]
[Citation(s) in RCA: 38] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2005] [Accepted: 05/08/2006] [Indexed: 11/26/2022]
Abstract
We consider longitudinal clinical data for HIV patients undergoing treatment interruptions. We use a nonlinear dynamical mathematical model in attempts to fit individual patient data. A statistically-based censored data method is combined with inverse problem techniques to estimate dynamic parameters. The predictive capabilities of this approach are demonstrated by comparing simulations based on estimation of parameters using only half of the longitudinal observations to the full longitudinal data sets.
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