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 |
| Creators | Goldstein, H., Kounali, D. and Robinson, A. |
| DOI | 10.1177/1471082X0800800302 |
| Departments | Faculty of Science > Mathematical Sciences |
| Refereed | Yes |
| Status | Published |
| ID Code | 26697 |
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