A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data
type: Item
instance of: scholarly article
title: A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data
zbMATH Open document ID: 1452.62824
author: Wei Liu
author: Lang Wu
published in: Computational Statistics and Data Analysis
publication date: 2009-06-16T00:00:00Z
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62D10
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 5565117
MaRDI profile type: Publication
full work available at URL: j.csda.2008.06.018
OpenAlex ID: W1976470971
cites work: Q4888734
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cites work: Generalized Linear Models with Random Effects
cites work: Modeling the Drop-Out Mechanism in Repeated-Measures Studies
cites work: Simultaneous Inference for Semiparametric Nonlinear Mixed‐Effects Models with Covariate Measurement Errors and Missing Responses
cites work: Nonparametric Mixed Effects Models for Unequally Sampled Noisy Curves
cites work: A Random-Effects Model for Multiple Characteristics With Possibly Missing Data
cites work: A note on the use of Laplace's approximation for nonlinear mixed-effects models
cites work: Conditional Second-Order Generalized Estimating Equations for Generalized Linear and Nonlinear Mixed-Effects Models
cites work: Statistical methods for HIV dynamic studies in AIDS clinical trials
cites work: A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies
DOI: 10.1016/J.CSDA.2008.06.018
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description: scientific article; zbMATH DE number 5565117