A Comparison Study of Models and Fitting Procedures for Biphasic Viral Dynamics in HIV‐1 Infected Patients Treated with Antiviral Therapies

DOI10.1111/j.0006-341X.2000.00293.xzbMath1060.62596WikidataQ52079383 ScholiaQ52079383MaRDI QIDQ4668419

Hulin Wu, A. Adam Ding

Publication date: 19 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

Monte Carlo simulationnonlinear regressionHIV infectionviral loadAIDS modeling

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05)

Related Items (7)

Hierarchical Bayesian inference for HIV dynamic differential equation models incorporating multiple treatment factors ⋮ A Bayesian approach in differential equation dynamic models incorporating clinical factors and covariates ⋮ Optimal designs for some selected nonlinear models ⋮ Nonlinear mixed-effects HIV dynamic models with considering left-censored measurements ⋮ Mathematical biology and medical statistics: contributions to the understanding of AIDS epidemiology ⋮ Mixture models for quantitative HIV RNA data ⋮ Extension of the SAEM algorithm to left-censored data in nonlinear mixed-effects model: Application to HIV dynamics model

Cites Work

• Dynamics of HIV infection of CD4\(^ +\) T cells
• Relationships between antiviral treatment effects and biphasic viral decay rates in modeling HIV dynamics
• Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials

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