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HIERARCHICAL MIXED-EFFECTS MODEL FOR HIV DYNAMICS

Authors
 YUNJEONG LEE  ;  YOON-GU HWANG  ;  HEE-DAE KWON  ;  JUN YONG CHOI  ;  JEEHYUN LEE 
Citation
 SIAM JOURNAL ON APPLIED MATHEMATICS, Vol.80(3) : 1290-1306, 2020-05 
Journal Title
 SIAM JOURNAL ON APPLIED MATHEMATICS 
ISSN
 0036-1399 
Issue Date
2020-05
Keywords
HIV dynamics ; mixed-effects model ; random ODEs
Abstract
A hierarchical mixed-effects model is proposed to account for both individual- and population-level variability in human immunodeficiency virus (HIV) dynamics. This model is implemented by formulating the crucial parameters as random variables in an in-host HIV model. Model reduction is used to guide the choice for a minimal set of parameters, whose distributions are estimated by the global two-stage method. We analyze the system of ordinary differential equations with random coefficients and provide numerical simulations illustrating its asymptotic behaviors.
Files in This Item:
T202002072.pdf Download
DOI
10.1137/19M1246031
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Choi, Jun Yong(최준용) ORCID logo https://orcid.org/0000-0002-2775-3315
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/179184
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