Applied Biostatistics in Nutrition and Physiology

Course content

Focus will be on standard descriptive methods and parametric statistical models, especially analysis of variance and regression models including models for repeated measurements. It will be a modern approach towards the use of statistical methods, reflecting current practice in the research activities at NEXS w.r.t. publication of scientific articles and reports. Construction of appropriate models will be a key theme, i.e., how to translate study designs into suitable model specifications. Estimation of relevant parameters such as means, differences, and slope coefficients will be covered. In particular, adjustment for covariates and confounders as well as structural effects due to the study design will also be covered. Assessment of uncertainty of estimates in the different models by means of confidence intervals and standard errors and, also, related approaches to hypothesis testing using p-values will also be an integral part of the course. Statistical methods will mainly be introduced and discussed through reading of selected parts of publications and other relevant literature. The course will be project-based such that participants mainly will work on own data in project groups. The statistical environment R will be used throughout the course.


MSc Programme in Human Nutrition

Learning outcome


The participants will have acquired knowledge on applied statistical analysis of a number of key study designs used in nutritional and physiology research. The participant will know 1) how to approach model construction, 2) which quantities are relevant to estimate and report, and 3) how to take variation and uncertainty in data into consideration in the appreciation of obtained findings.


For a number of important study designs the participant will be able to carry out both descriptive summaries as well as to apply state-of-the-art statistical methodology for the quantification of intervention effects in randomized controlled trials and associations in exploratory studies.


At the level required for smaller journal articles and master thesis reports, the participant will know how to choose between and apply relevant statistical methods and, subsequently, to evaluate and interpret results obtained from applying these methods.

Lectures, seminars, group work with supervision and exercises.

Course literature will be announced at study start on Absalon.

Academic qualifications equivalent to a BSc degree is recommended.

Continuous feedback during the course of the semester

Comments, ideas, and suggestions when doing article reading and project work.

7,5 ECTS
Type of assessment
Oral examination, 20 minutes
Written assignment, during course
Individual oral examination, 20 minutes examination.
Each student presents a self-selected part of the group report but may be asked about any part of the report during the examination.
Project report and oral exam both count 50% in the final grade.
All aids allowed
Marking scale
7-point grading scale
Censorship form
No external censorship
Internal grading.
Criteria for exam assessment

Please see "Learning outcomes".

Single subject courses (day)

  • Category
  • Hours
  • Exam
  • 1
  • Exam Preparation
  • 20
  • Preparation
  • 133
  • Lectures
  • 4
  • Practical exercises
  • 48
  • English
  • 206