Jun
Causal inference in nutritional epidemiology - optimising the use of observational data to strengthen the evidence between diet and health
Seminar June 13th 13.00-17.00 arranged by SVEP (Swedish Epidemiological Association) and NEON (the Swedish Network in Nutritional Epidemiology)
13.00 Welcome
13.10-13.50 Introduction to causal inference, with a focus on Directed Acyclic Graphs (DAGs)
Anton Nilsson, Lund University
13.50-14.25 PhD student presentation and discussion
14.25-14.50 Coffee/tea break
14.50-15.15 Limitations and challenges of systematic reviews
Agneta Åkesson, Karolinska Institute
15.15-16.05 Reforming nutritional hypotheses
Daniel Borch Ibsen Aarhus University, Denmark
16.15-17.15 Understanding compositional data in nutrition: applications to energy intake adjustment and substitution modelling
Georgia Tomova and Peter Tennant University of Leeds, Leeds, United Kingdom Alan Turing Institute, London, United Kingdom
17.15-17.20 Closing remarks
To prepare yourself for the session by Georgia Tomova and Peter Tennant, please see articles:
Tomova GD, Arnold KF, Gilthorpe MS, Tennant PWG. Adjustment for energy intake in nutritional research: a causal inference perspective. Am J Clin Nutr 2022 http://dx.doi.org/10.1093/ajcn/nqab266
Tomova GD, Gilthorpe MS, Tennant PWG. Theory and performance of substitution models for estimating relative causal effects in nutritional epidemiology. Am J Clin Nutr 2022 http://dx.doi.org/10.1093/ajcn/nqac188
Link to the registration: https://a.entergate.se/livsmedelsverket/neonsvep2023
Registration deadline: 21/4.
About the event
Location:
Rudbecksalen in the Rudbeck laboratory, Uppsala Science Park, Uppsala
Contact:
elisabeth [dot] strandhagen [at] gu [dot] se