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L(1) penalized continuation ratio models for ordinal response prediction using high-dimensional datasets
Health status and outcomes are frequently measured on an ordinal scale. For high-throughput genomic datasets, the common approach to analyzing ordinal response data has been to break the problem into one or more dichotomous response analyses. This dichotomous response approach does not make use of a...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3718008/ https://ncbi.nlm.nih.gov/pubmed/22359384 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.4484 |
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