Estimation and prediction with HIV-treatment interruption data.

Estimation and prediction with HIV-treatment interruption data. Research Abstract Details 

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Estimation and prediction with HIV-treatment interruption data. Abstract Text:

B M Adams,H T Banks,M Davidian,E S Rosenberg,

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.

Estimation and prediction with HIV-treatment interruption data. Publishing Authors By Initials

BM Adams,HT Banks,M Davidian,ES Rosenberg,

For similar investigative techniques: clinical laboratory techniques: microbiological techniques: viral load research abstracts see: investigative techniques: clinical laboratory techniques: microbiological techniques: viral load research

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Estimation and prediction with HIV-treatment interruption data. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Bulletin of mathematical biology

VOLUME: 69

Page Numbers: 563-84

Journal Abbreviation: Bull. Math. Biol.

ISSN: 0092-8240

DAY: 9

MONTH: 01

YEAR: 2007

Estimation and prediction with HIV-treatment interruption data. Information

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LANGUAGE: eng

NlmUniqueID: 401404

Estimation and prediction with HIV-treatment interruption data. Keywords Mesh Terms:

KEYWORDS: Viral Load

MESH TERMS: immunology

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Grant and Affiliation Information for Estimation and prediction with HIV-treatment interruption data.

AFFILIATION: Center for Research in Scientific Computation, North Carolina State University, Box 8205, Raleigh, NC 27695-8205, USA.

Country: United States

AGENCY: United States NIAID

GRANT: R37AI031789

ACRONYM: AI

MEDLINETA: Bull Math Biol

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