Modelling measurement errors and category misclassifications in multilevel models
Goldstein, H., Kounali, D. and Robinson, A., 2008. Modelling measurement errors and category misclassifications in multilevel models. Statistical Modelling, 8 (3), pp. 243-261.
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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.
|Creators||Goldstein, H., Kounali, D. and Robinson, A.|
|Departments||Faculty of Science > Mathematical Sciences|
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