Correcting for Measurement Error in Individual‐Level Covariates in Nonlinear Mixed Effects Models

DOI10.1111/j.0006-341X.2000.00368.xzbMath1060.62630WikidataQ44873462 ScholiaQ44873462MaRDI QIDQ4667451

Marie Davidian, Hyejin Ko

Publication date: 20 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

random effectsregression calibrationLaplace's approximationsmall sigma

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02)

Related Items (10)

Nonparametric Modeling Auxiliary Covariates in Random Coefficient Models ⋮ Regression calibration with instrumental variables for longitudinal models with interaction terms, and application to air pollution studies ⋮ Practical estimation of high dimensional stochastic differential mixed-effects models ⋮ A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data ⋮ Laplace approximation in measurement error models ⋮ Statistical models for exposure-biomarker relationships with measurement error and censoring ⋮ Random effects models for HIV marker data: practical approaches with currently available software ⋮ Modeling continuous auxiliary covariate data in generalized linear mixed models using the kernel smoother ⋮ Random Effects Logistic Regression Analysis with Auxiliary Covariates ⋮ Consequences of misspecifying assumptions in nonlinear mixed effects models.

Uses Software

• NONMEM

Cites Work

• Unnamed Item
• Simulation-Extrapolation: The Measurement Error Jackknife
• A note on the use of Laplace's approximation for nonlinear mixed-effects models
• Bias Analysis and SIMEX Approach in Generalized Linear Mixed Measurement Error Models
• A bias correction regression calibration approach in generalized linear mixed measurement error models
• Laplace's approximation for nonlinear mixed models
• A Joint Model for Survival and Longitudinal Data Measured with Error
• Population HIV‐1 Dynamics In Vivo: Applicable Models and Inferential Tools for Virological Data from AIDS Clinical Trials
• Bias correction in generalised linear mixed models with a single component of dispersion

This page was built for publication: Correcting for Measurement Error in Individual‐Level Covariates in Nonlinear Mixed Effects Models