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Meal and habitual dietary networks identified through Semiparametric Gaussian Copula Graphical Models in a German adult population
Gaussian graphical models (GGMs) are exploratory methods that can be applied to construct networks of food intake. Such networks were constructed for meal-structured data, elucidating how foods are consumed in relation to each other at meal level. Meal-specific networks were compared with habitual d...
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| Publicado en: | PLoS One |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6108519/ https://ncbi.nlm.nih.gov/pubmed/30142191 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0202936 |
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