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SSM Annual Scientific Meeting
Oral presentations
Friday 17 September
Nutritional EPI & Data, 13.00 – 15.30
OP81 Adjustment for energy intake in nutritional research: a causal inference perspective
Free

Authors

  • Georgia Tomova Leeds Institute for Data Analytics, University of Leeds, Leeds, UK Faculty of Medicine and Health, University of Leeds, Leeds, UK The Alan Turing Institute, London, UK PubMed articlesGoogle scholar articles
  • Kellyn Arnold Leeds Institute for Data Analytics, University of Leeds, Leeds, UK Faculty of Environment, University of Leeds, Leeds, UK PubMed articlesGoogle scholar articles
  • Mark Gilthorpe Leeds Institute for Data Analytics, University of Leeds, Leeds, UK Faculty of Medicine and Health, University of Leeds, Leeds, UK The Alan Turing Institute, London, UK PubMed articlesGoogle scholar articles
  • Peter Tennant Leeds Institute for Data Analytics, University of Leeds, Leeds, UK Faculty of Medicine and Health, University of Leeds, Leeds, UK The Alan Turing Institute, London, UK PubMed articlesGoogle scholar articles

Citation

Tomova G, Arnold K, Gilthorpe M, et al
OP81 Adjustment for energy intake in nutritional research: a causal inference perspective
J Epidemiol Community Health 2021;75:A38-A39.

Publication history

  • First published September 4, 2021.
Online issue publication 
January 12, 2022

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Copyright information

© Author(s) (or their employer(s)) 2021. No commercial re-use. See rights and permissions. Published by BMJ.