4 research outputs found

    Modelling measurement errors and category misclassifications in multilevel models

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    Abstract: 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. Key words: multilevel model; measurement errors; misclassification errors; MCMC estimatio
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