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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Detalles Bibliográficos
Autores principales: Schwedhelm, Carolina, Knüppel, Sven, Schwingshackl, Lukas, Boeing, Heiner, Iqbal, Khalid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
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

Internet

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

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