3rd International Advanced Course
The course will address methodological aspects of exposure assessment in nutrition and related fields of biomedical research.
The course is meant for university graduates in biomedical sciences; nutrition, epidemiology etc. Knowledge on basic statistical concepts and methods (e.g. linear regression, paired t-test, correlation, ANOVA) and study designs is assumed. The course is focused on PhD students and post-docs as well as participants from industry and research centers.
- State-of-the-art and recent developments in dietary assessment for different research questions and study designs, including issues relevant to collection of biomarkers in practice.
- Study designs for evaluation studies assessing validity and reproducibility, focusing on level of intake, nature of variation in diet, ability of ranking subjects, followed by the application of results in calibration of exposure and deattenuation of associations.
- Error models in exposure assessment, addressing systematic and random errors (group level bias, intake related bias, person-specific bias, day-to-day-variation, instrumental bias).
- Statistical methodology to estimate usual intake and uncertainty in dietary assessment.