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Modelling measurement errors and category misclassifications in multilevel models


Reference:

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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Official URL:

http://dx.doi.org/10.1177/1471082X0800800302

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.

Details

Item Type Articles
CreatorsGoldstein, H., Kounali, D. and Robinson, A.
DOI10.1177/1471082X0800800302
DepartmentsFaculty of Science > Mathematical Sciences
RefereedYes
StatusPublished
ID Code26697

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