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...

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Detalles Bibliográficos
Autores principales: Ling, Ashley, Hay, El Hamidi, Aggrey, Samuel E., Rekaya, Romdhane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
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

Internet

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

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