Finite mixture of nonlinear mixed-effects joint models in the presence of missing and mismeasured covariate, with application to AIDS studies
type: Item
instance of: scholarly article
title: Finite mixture of nonlinear mixed-effects joint models in the presence of missing and mismeasured covariate, with application to AIDS studies
zbMATH Open document ID: 1468.62128
author: Xiaosun Lu
author: Yangxin Huang
author: Yiliang Zhu
published in: Computational Statistics and Data Analysis
publication date: 2018-08-15T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6918692
zbMATH Keywords: AIDS clinical trials
zbMATH Keywords: Bayesian inference
zbMATH Keywords: finite mixture models
zbMATH Keywords: NLME models
zbMATH Keywords: longitudinal data analysis
describes a project that uses: WinBUGS
describes a project that uses: BayesDA
MaRDI profile type: Publication
full work available at URL: j.csda.2014.04.003
OpenAlex ID: W2079471296
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DOI: 10.1016/J.CSDA.2014.04.003
description: scientific article; zbMATH DE number 6918692