Modelling measurement errors and category misclassifications in multilevel models

DOI10.1177/1471082X0800800302zbMath1445.62145OpenAlexW2017800131MaRDI QIDQ4970946

Daphne Kounali, Anthony J. Robinson, Harvey Goldstein

Publication date: 8 October 2020

Published in: Statistical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1177/1471082x0800800302

zbMATH Keywords

measurement errorsmultilevel modelMCMC estimationmisclassification errors

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (4)

A Bayesian model for measurement and misclassification errors alongside missing data, with an application to higher education participation in Australia ⋮ Value added in hierarchical linear mixed models with error in variables ⋮ Bayesian correction for misclassification in multilevel count data models ⋮ A recursive algorithm on estimating the parameters in multilevel models subject to the measurement errors on the covariates

Uses Software

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• MLwiN

Cites Work

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• Bayesian modeling of measurement error in predictor variables using item response theory
• Comparing the Effects of Continuous and Discrete Covariate Mismeasurement, with Emphasis on the Dichotomization of Mismeasured Predictors
• Bias Analysis and SIMEX Approach in Generalized Linear Mixed Measurement Error Models
• Measurement Error in Nonlinear Models
• A general method for analysis of covariance structures
• Estimation of the Slope and Analysis of Covariance when the Concomitant Variable is Measured with Error

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