Feasibility of parameter estimation in hepatitis C viral dynamics models

被引：8
作者：
Arthur, Joseph G. [1 ]
Tran, Hien T. [2 ]
Aston, Philip [3 ]
机构：
[1] Stanford Univ, Dept Stat, Stanford, CA 94305 USA
[2] North Carolina State Univ, Dept Math, Raleigh, NC 27695 USA
[3] Univ Surrey, Dept Math, Guildford GU2 5XH, Surrey, England
来源：
JOURNAL OF INVERSE AND ILL-POSED PROBLEMS | 2017年 / 25卷 / 01期
基金：
美国国家科学基金会;
关键词：
Parameter estimation; expectation maximization; identifiability; sensitivity analysis; IN-VIVO; INFECTION; EFFICACY; THERAPY; ERA;
D O I：
10.1515/jiip-2014-0048
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Methodologies are presented for assessing the feasibility of parameter estimation in nonlinear ordinary differential equation (ODE) models. These methods are applied to a recent model for hepatitis C viral dynamics. Subset selection is performed on the model parameters, and maximum likelihood estimation is conducted using available data from the literature.
引用
收藏
页码：69 / 80
页数：12
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