Aim & Content 

This course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD Students from NorDoc member faculties. All other participants must pay the course fee.

Anyone can apply for the course, but if you are not a PhD student at a Danish university, you will be placed on the waiting list until enrollment deadline. This also applies to PhD students from NorDoc member faculties. After the enrollment deadline, available seats will be allocated to applicants on the waiting list.

Programme

You can find the programme here.

Learning objectives 

A student who has met the objectives of the course will be able to:

1. understand diet reporting bias and consequences
2. understand methodological considerations related to measurement error, energy adjustment and substitution
3. understand the principles and use of Mendelian randomization
4. understand the potential, use and limitations of nutri-“omics”
5. apply directed acyclic graphs (DAGs) and graphical causal model theory

Content

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.

Who can attend?

PhD students with basic knowledge in epidemiology and nutrition

Relevance to graduate programmes 

The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH:

• Public Health and Epidemiology
• Biostatistics and Bioinformatics

Registration 

Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules.

Applications from other participants will be considered after the last day of enrolment.

Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.