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A Bayesian approach for analysis of ordered categorical responses subject to misclassification
Ordinal categorical responses are frequently collected in survey studies, human medicine, and animal and plant improvement programs, just to mention a few. Errors in this type of data are neither rare nor easy to detect. These errors tend to bias the inference, reduce the statistical power and ultim...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6292639/ https://www.ncbi.nlm.nih.gov/pubmed/30543662 http://dx.doi.org/10.1371/journal.pone.0208433 |