Episode Summary
In this episode of AJCN In Press, AJCN’s Inaugural Dennis M. Bier Young Career Editor, Kevin C. Klatt, PhD, RD chats with Georgia D. Tomova, MSc and PhD candidate, and Peter WG Tennant, PhD, at the Leads Institute for Data Analytics and the Alan Turing Institute for Data Science and Artificial Intelligence. Ms. Tomova and Dr. Tennant are co-leaders of the Causal Inference Interest Group at the Alan Turing Institute and their interests mutually lie within the field of causal inference and methods and their applications to epidemiology and health sciences, including nutrition.
This episode discusses the rationale for and findings of a recent publication by Tomova, Arnold, Gilthorpe and Tennant exploring and comparing the most common approaches to energy intake adjustment in nutritional epidemiology using causal diagrams and simulated data.
Be sure to connect with us on Twitter: Dr. Klatt, Georgia Tomova, Peter Tennant, and AJCN. Find all of the publications from the American Society for Nutrition (@nutritionorg; @jnutritionorg) at our website.
See also journal article: Adjustment for energy intake in nutritional research: a causal inference perspective
