Finite mixture of nonlinear mixed-effects joint models in the presence of missing and mismeasured covariate, with application to AIDS studies

DOI10.1016/j.csda.2014.04.003zbMath1468.62128OpenAlexW2079471296MaRDI QIDQ1660194

Yangxin Huang, Yiliang Zhu, Xiaosun Lu

Publication date: 15 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2014.04.003

zbMATH Keywords

Bayesian inferencefinite mixture modelslongitudinal data analysisAIDS clinical trialsNLME models

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items

Editorial: The third special issue on advances in mixture models ⋮ Health and Income: Theory and Evidence for OECD Countries ⋮ Joint analysis of nonlinear heterogeneous longitudinal data and binary outcome: an application to AIDS clinical studies ⋮ Joint model-based clustering of nonlinear longitudinal trajectories and associated time-to-event data analysis, linked by latent class membership: with application to AIDS clinical studies

Uses Software

• WinBUGS
• BayesDA

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Inference from iterative simulation using multiple sequences
• A Bayesian Approach to Joint Mixed-Effects Models with a Skew-Normal Distribution and Measurement Errors in Covariates
• A Bayesian method for classification and discrimination
• A Two-Step Approach to Measurement Error in Time-Dependent Covariates in Nonlinear Mixed-Effects Models, With Application to IGF-I Pharmacokinetics
• A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies
• Dealing With Label Switching in Mixture Models
• Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
• Finite Mixture Modeling with Mixture Outcomes Using the EM Algorithm
• A Mixture Model for Longitudinal Data with Application to Assessment of Noncompliance
• Bayesian Measures of Model Complexity and Fit
• Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler
• Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach
• Bayesian Mixture Labeling by Highest Posterior Density
• Simultaneous Inference for Semiparametric Nonlinear Mixed‐Effects Models with Covariate Measurement Errors and Missing Responses
• Measurement Error in Nonlinear Models
• Nonparametric Regression Methods for Longitudinal Data Analysis
• Hierarchical Bayesian Methods for Estimation of Parameters in a Longitudinal HIV Dynamic System
• General growth mixture modeling for randomized preventive interventions