The aim of the course is to provide PhD.-students with basic knowledge in the epidemiology of human nutrition with an introduction to more advanced methodologies within nutritional epidemiology; Correlated data, adjustment for total energy, correction for measurement error, bias, evaluation of diet intake, biomarkers, molecular nutrition and diet and health.
A student who has met the objectives of the course will be able to:
- understand diet reporting bias and consequences
- understand methodological considerations related to measurement error, energy adjustment and substitution
- understand the principles and use of Mendelian randomization
- understand the potential, use and limitations of nutri-“omics”
- apply directed acyclic graphs (DAGs) and graphical causal model theory
The next course will be provided in 2021, more information will follow.
For more information about the course please contact the course secretary Fanney Thorsteinsdottir