Mixed effects models with censored covariates, with applications in HIV/AIDS studies
type: Item
instance of: scholarly article
title: Mixed effects models with censored covariates, with applications in HIV/AIDS studies
zbMATH Open document ID: 1431.62445
DOI: 10.1155/2018/1581979
author: Lang Wu
author: Hongbin Zhang
published in: Journal of Probability and Statistics
publication date: 2018-08-14T00:00:00Z
review text: Summary: Mixed effects models are widely used for modelling clustered data when there are large variations between clusters, since mixed effects models allow for cluster-specific inference. In some longitudinal studies such as HIV/AIDS studies, it is common that some time-varying covariates may be left or right censored due to detection limits, may be missing at times of interest, or may be measured with errors. To address these ``incomplete data'' problems, a common approach is to model the time-varying covariates based on observed covariate data and then use the fitted model to ``predict'' the censored or missing or mismeasured covariates. In this article, we provide a review of the common approaches for censored covariates in longitudinal and survival response models and advocate nonlinear mechanistic covariate models if such models are available.
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6917632
describes a project that uses: lmec
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/1581979
OpenAlex ID: W2807335968
cites work: Flexible modeling of survival data with covariates subject to detection limits via multiple imputation
cites work: Mixed Effects Models with Censored Data with Application to HIV RNA Levels
cites work: A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies
cites work: Semiparametric approach to regression with a covariate subject to a detection limit
cites work: Joint modeling of longitudinal and survival data with the Cox model and two-phase sampling
cites work: Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
cites work: Mixed Effects Models for Complex Data
cites work: Q4792071
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description: scientific article; zbMATH DE number 6917632