TY  - JOUR
AU  - Pinart, Mariona
AU  - Nimptsch, Katharina
AU  - Bouwman, Jildau
AU  - Dragsted, Lars O
AU  - Yang, Chen
AU  - De-Cock, Nathalie
AU  - Lachat, Carl
AU  - Perozzi, Giuditta
AU  - Canali, Raffaella
AU  - Lombardo, Rosario
AU  - D'Archivio, Massimo
AU  - Guillaume, Michèle
AU  - Donneau, Anne-Françoise
AU  - Jeran, Stephanie
AU  - Linseisen, Jakob
AU  - Kleiser, Christina
AU  - Nöthlings, Ute
AU  - Barbaresko, Janett
AU  - Boeing, Heiner
AU  - Stelmach-Mardas, Marta
AU  - Heuer, Thorsten
AU  - Laird, Eamon
AU  - Walton, Janette
AU  - Gasparini, Paolo
AU  - Robino, Antonietta
AU  - Castaño, Luis
AU  - Rojo-Martinez, Gemma
AU  - Merino, Jordi
AU  - Masana, Luis
AU  - Standl, Marie
AU  - Schulz, Holger
AU  - Biagi, Elena
AU  - Nurk, Eha
AU  - Matthys, Christophe
AU  - Gobbetti, Marco
AU  - de-Angelis, Maria
AU  - Windler, Eberhard
AU  - Zyriax, Birgit-Christiane
AU  - Tafforeau, Jean
AU  - Pischon, Tobias
PY  - 2018
DO  - 10.1093/jn/nxx037
UR  - http://hdl.handle.net/10668/12191
T2  - The Journal of nutrition
AB  - Joint data analysis from multiple nutrition studies may improve the ability to answer complex questions regarding the role of nutritional status and diet in health and disease. The objective was to identify nutritional observational studies from...
LA  - en
KW  - Biomarkers
KW  - Insulin
KW  - Lipoproteins
KW  - Adult
KW  - Biomarkers
KW  - Blood Glucose
KW  - Case-Control Studies
KW  - Child
KW  - Chronic Disease
KW  - Cohort Studies
KW  - Cross-Sectional Studies
KW  - Diet
KW  - Epidemiology
KW  - Europe
KW  - Genomics
KW  - Health Status
KW  - Humans
KW  - Inflammation
KW  - Insulin
KW  - Life Style
KW  - Lipoproteins
KW  - Longitudinal Studies
KW  - Metabolomics
KW  - Nutritional Status
KW  - Observational Studies as Topic
KW  - Statistics as Topic
TI  - Joint Data Analysis in Nutritional Epidemiology: Identification of Observational Studies and Minimal Requirements.
TY  - research article
VL  - 148
ER  -