A Bayesian approach in differential equation dynamic models incorporating clinical factors and covariates

DOI10.1080/02664760802578320OpenAlexW1964007327WikidataQ33824478 ScholiaQ33824478MaRDI QIDQ5123510

Yangxin Huang

Publication date: 29 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2863069

zbMATH Keywords

longitudinal datatime-varying drug efficacyBayesian nonlinear mixed-effects modelslong-term HIV dynamicsbaseline characteristics

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• S-PLUS
• IMSL Numerical Libraries
• SAS
• MEMSS
• SAS/STAT

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• HIV-1 infection and low steady state viral loads
• Estimating the dimension of a model
• Modeling HIV dynamics and antiviral response with consideration of time-varying drug exposures, adherence and phenotypic sensitivity
• Relationships between antiviral treatment effects and biphasic viral decay rates in modeling HIV dynamics
• Models and estimation methods for clinical HIV-1 data
• The Bayesian Analysis of Population Pharmacokinetic Models
• A Bayesian approach for estimating antiviral efficacy in HIV dynamic models
• Sampling-Based Approaches to Calculating Marginal Densities
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• Mathematical Analysis of HIV-1 Dynamics in Vivo
• A Two-Step Approach to Measurement Error in Time-Dependent Covariates in Nonlinear Mixed-Effects Models, With Application to IGF-I Pharmacokinetics
• Assessing antiviral potency of anti-HIV therapies in vivo by comparing viral decay rates in viral dynamic models
• A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies
• Mixed-Effects Models in S and S-PLUS
• Likelihood Inference for Discretely Observed Nonlinear Diffusions
• Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
• A Comparison Study of Models and Fitting Procedures for Biphasic Viral Dynamics in HIV‐1 Infected Patients Treated with Antiviral Therapies
• Bayesian Measures of Model Complexity and Fit
• Deterministic and Stochastic Models of AIDS Epidemics and HIV Infections with Intervention

This page was built for publication: A Bayesian approach in differential equation dynamic models incorporating clinical factors and covariates