A dynamic Bayesian nonlinear mixed-effects model of HIV response incorporating medication adherence, drug resistance and covariates
DOI10.1214/10-AOAS376zbMath1220.62138arXiv1104.3464OpenAlexW3103108126WikidataQ41153820 ScholiaQ41153820MaRDI QIDQ542517
Edward P. Acosta, Yangxin Huang, Jeanne Holden-Wiltse, Hulin Wu
Publication date: 10 June 2011
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1104.3464
longitudinal dataconfounding factorsMEMS adherence assessmenttime-varying drug efficacyvirus resistance
Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Dynamical systems in biology (37N25) Medical applications (general) (92C50)
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- Identifiability results on some constrained compartmental systems
- Estimating the dimension of a model
- Ponding problem of plates in nonlinear nature
- Modeling HIV dynamics and antiviral response with consideration of time-varying drug exposures, adherence and phenotypic sensitivity
- Models and estimation methods for clinical HIV-1 data
- The Bayesian Analysis of Population Pharmacokinetic Models
- A Linear Mixed-Effects Model With Heterogeneity in the Random-Effects Population
- A Bayesian approach for estimating antiviral efficacy in HIV dynamic models
- Sampling-Based Approaches to Calculating Marginal Densities
- Mathematical Analysis of HIV-1 Dynamics in Vivo
- A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies
- Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
- Bayesian Measures of Model Complexity and Fit
- Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler
- Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System
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