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Genomic-Enabled Prediction of Ordinal Data with Bayesian Logistic Ordinal Regression
Most genomic-enabled prediction models developed so far assume that the response variable is continuous and normally distributed. The exception is the probit model, developed for ordered categorical phenotypes. In statistical applications, because of the easy implementation of the Bayesian probit or...
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| Publicado no: | G3 (Bethesda) |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Genetics Society of America
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4592994/ https://ncbi.nlm.nih.gov/pubmed/26290569 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/g3.115.021154 |
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