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A Penalized Latent Class Model for Ordinal Data
Latent class models provide a useful framework for clustering observations based on several features. Application of latent class methodology to correlated, high-dimensional ordinal data poses many challenges. Unconstrained analyses may not result in an estimable model. Thus, information contained i...
Gardado en:
| Publicado en: | Biostatistics |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2007
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4878392/ https://ncbi.nlm.nih.gov/pubmed/17626225 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxm026 |
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