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Publication

Generalizability of a Diabetes-Associated Country-Specific Exploratory Dietary Pattern Is Feasible Across European Populations.

Franziska Jannasch | Janine Kröger | Claudia Agnoli | Aurelio Barricarte | Heiner Boeing | Valerie Cayssials | Sandra Colorado-Yohar | Christina C Dahm | Courtney Dow | Guy Fagherazzi | Paul W Franks | Heinz Freisling | Marc J Gunter | Nicola D Kerrison | Timothy J Key | Kay-Tee Khaw | Tilman Kühn | Cecilie Kyro | Francesca Romana Mancini | Olatz Mokoroa | Peter Nilsson | Kim Overvad | Domenico Palli | Salvatore Panico | Jose Ramón Quirós García | Olov Rolandsson | Carlotta Sacerdote | Mariá-José Sánchez | Mohammad Sediq Sahrai | Ruth Schübel | Ivonne Sluijs | Annemieke M W Spijkerman | Anne Tjonneland | Tammy Y N Tong | Rosario Tumino | Elio Riboli | Claudia Langenberg | Stephen J Sharp | Nita G Forouhi | Matthias B Schulze | Nicholas J Wareham
The Journal of nutrition | 2019

Population-specificity of exploratory dietary patterns limits their generalizability in investigations with type 2 diabetes incidence.

Pubmed ID: 31149710

Research resources used in this publication

None found

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None found

Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MR/N003284/1
  • Agency: Medical Research Council, United Kingdom
    Id: G1000143
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_12015/1
  • Agency: Cancer Research UK, United Kingdom
    Id: 14136
  • Agency: Medical Research Council, United Kingdom
    Id: G0401527
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_12015/5

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Statistical Analysis System (tool)

RRID:SCR_008567

Software platform to explore, analyze and visualize data. SAS 9.4 is part of SAS Platform. Standardized data governance and management from statistical software company SAS.

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