Estimation and prediction with HIV-treatment interruption data

被引：36

作者：

Adams, B. M.

Banks, H. T.

Davidian, M.

Rosenberg, E. S.

机构：

[1] N Carolina State Univ, Ctr Res Sci Computat, Raleigh, NC 27695 USA

[2] Massachusetts Gen Hosp, ID Unit Gray 5, Boston, MA 02114 USA

[3] Harvard Univ, Sch Med, Boston, MA 02114 USA

来源：

BULLETIN OF MATHEMATICAL BIOLOGY | 2007年 / 69卷 / 02期

关键词：

HIV models; treatment interruptions; censored data; parameter estimation; prediction;

D O I：

10.1007/s11538-006-9140-6

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页码：563 / 584

页数：22

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