Hybrid Bayesian inference on HIV viral dynamic models

DOI10.1080/02664763.2013.818626OpenAlexW2078526825MaRDI QIDQ5129133

No author found.

Publication date: 26 October 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2013.818626

zbMATH Keywords

HIV dynamicsnonlinear mixed-effects models0-1 lossMonte Carlo EM algorithmhybrid Bayesian density

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• bootstrap

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Analysis of longitudinal and survival data: joint modeling, inference methods, and issues
• Bayesian frequentist hybrid inference
• Profile likelihood and conditionally parametric models
• Standard errors of fitted component means of normal mixture
• Hierarchical Bayesian inference for HIV dynamic differential equation models incorporating multiple treatment factors
• Sampling-Based Approaches to Calculating Marginal Densities
• Inference and missing data
• Parameter expansion to accelerate EM: the PX-EM algorithm
• Direct Calculation of the Information Matrix via the EM Algorithm
• Conditional Second-Order Generalized Estimating Equations for Generalized Linear and Nonlinear Mixed-Effects Models
• 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–frequentist hybrid model with application to the analysis of gene copy number changes
• Maximum Likelihood Estimation in Dynamical Models of HIV
• Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System
• Exact and Approximate Inferences for Nonlinear Mixed-Effects Models With Missing Covariates