TY - JOUR
T1 - Modelling measurement errors and category misclassifications in multilevel models
AU - Goldstein, H
AU - Kounali, D
AU - Robinson, Anthony
PY - 2008/9
Y1 - 2008/9
N2 - Models are developed to adjust for measurement errors in normally distributed predictor and response variables and categorical predictors with misclassification errors. The models allow for a hierarchical data structure and for correlations among the errors and misclassifications. Markov Chain Monte Carlo (MCMC) estimation is used and implemented in a set of MATLAB macros.
AB - Models are developed to adjust for measurement errors in normally distributed predictor and response variables and categorical predictors with misclassification errors. The models allow for a hierarchical data structure and for correlations among the errors and misclassifications. Markov Chain Monte Carlo (MCMC) estimation is used and implemented in a set of MATLAB macros.
UR - http://www.scopus.com/inward/record.url?scp=57449083963&partnerID=8YFLogxK
UR - http://dx.doi.org/10.1177/1471082X0800800302
U2 - 10.1177/1471082X0800800302
DO - 10.1177/1471082X0800800302
M3 - Article
SN - 1471-082X
VL - 8
SP - 243
EP - 261
JO - Statistical Modelling
JF - Statistical Modelling
IS - 3
ER -