8 min listen
Energy Adjustment Strategies In Nutritional Epidemiology
FromAJCN In Press
ratings:
Length:
46 minutes
Released:
Sep 28, 2021
Format:
Podcast episode
Description
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
Released:
Sep 28, 2021
Format:
Podcast episode
Titles in the series (20)
Introducing AJCN In Press: AJCN In Press is a new podcast from the American Journal of Clinical Nutrition (AJCN), the leading primary research journal in nutrition and dietetics and one of the four official journals from the American Society for Nutrition. by AJCN In Press