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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6108519/ https://www.ncbi.nlm.nih.gov/pubmed/30142191 http://dx.doi.org/10.1371/journal.pone.0202936 |