HNE-32903 Intermediate Analytical Epidemiology: confounding and effect measure modification (DL)


Credits 3.00

Teaching methodContact hours
Individual Paper
Independent study
Distance Knowledge clip
Distance Tutorial
Distance E-learning material
Course coordinator(s)dr. FJB van Duijnhoven
Lecturer(s)dr. FJB van Duijnhoven
prof. dr. ir. P van 't Veer
Examiner(s)prof. dr. JM Geleijnse

Language of instruction:


Assumed knowledge on:

DL-introduction to analytical epidemiology, DL-integration of evidence 1, DL-observational designs and assessment of validity

Continuation courses:

The DL-MSc-specializations have a fixed schedule during the pilot-phase


Note: This course has a maximum number of participants. The deadline for registration is one week earlier than usual. See Academic Year.( -> Registration for Courses.
Note: The period mentioned below is the period in which this course starts. For the exact academic weeks see the courseplanning on

This course focuses on how to evaluate whether confounding and effect measure modification are present. It also focuses on how to deal with confounding in the analysis.

Learning outcomes:

After successful completion of this course students are expected to be able to: - evaluate whether confounding and effect measure modification are present by stratification;
- explain how adjustment for confounding by linear regression modelling is working;
- evaluate whether confounding is present by linear regression modelling;
- understand the principles of energy adjustment;
- understand the relevance of energy adjustment because of correction for diet composition, removal of external variation in intake, confounding;
- understand for energy using multivariate, density, and residual approach;
- apply the approaches for energy adjustment in R.


Clips, e-module, individual assignment, group discussion.


- final written exam;
- group assignment biomarker protocol;
- discussion assignments (personal portfolio).


- Webb&Bain, chapter 8;
- Medical statistics at a glance "chapter 27, 28, 29 about theory, performing, and multiple linear regression modelling".

Compulsory for: MNHNutrition and HealthMScE: Nutritional Epidemiology and Public Health1DL