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Open Access

Peer-reviewed

Research Article

Meal and habitual dietary networks identified through Semiparametric Gaussian Copula Graphical Models in a German adult population

Carolina Schwedhelm ,

Roles Conceptualization, Formal analysis, Visualization, Writing – original draft

* E-mail: carolina.schwedhelm@dife.de

Affiliations Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany, NutriAct – Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany

http://orcid.org/0000-0001-7617-6641

⨯
Sven Knüppel,

Roles Conceptualization, Writing – review & editing

Affiliation Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
⨯
Lukas Schwingshackl,

Roles Conceptualization, Writing – review & editing

Affiliations Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany, NutriAct – Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
⨯
Heiner Boeing,

Roles Conceptualization, Funding acquisition, Writing – review & editing

Affiliations Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany, NutriAct – Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
⨯
Khalid Iqbal

Roles Conceptualization, Methodology, Supervision, Writing – review & editing

Affiliations Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany, NutriAct – Competence Cluster Nutrition Research Berlin-Potsdam, Nuthetal, Germany
⨯

Meal and habitual dietary networks identified through Semiparametric Gaussian Copula Graphical Models in a German adult population

Carolina Schwedhelm,
Sven Knüppel,
Lukas Schwingshackl,
Heiner Boeing,
Khalid Iqbal

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Published: August 24, 2018
https://doi.org/10.1371/journal.pone.0202936

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Food
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Diet
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Eating habits
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Meat
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Bread
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Network analysis
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Vegetables
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Centrality
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