HNH-33403 Advanced Analytical Epidemiology (online)

Code last year: (HNE-33403)


Credits 3.00

Teaching methodContact hours
Individual Paper0
Independent study0
E-learning material0
Course coordinator(s)dr. ir. AM Berendsen
Lecturer(s)prof. dr. ir. P van 't Veer
prof. dr. ir. E Kampman
prof. dr. ir. EJM Feskens
dr. FJB van Duijnhoven
Examiner(s)dr. FJB van Duijnhoven

Language of instruction:


Assumed knowledge on:

Introduction to analytical epidemiology, Integration of evidence 1, Observational designs and assessment of validity, Intermediate epidemiology: confounding and effect measure modification.


In this course, you will focus on data analysis of case control studies and longitudinal studies using logistic regression, Cox proportional hazard models and mixed models. The focus is on adjustment of confounding and identification of effect measure modification. Knowledge about how to obtain a valid answer to a research question is a prerequisite for everybody who conduct observational research. Confounding and effect measure modification are topics that should be dealt with during data analysis. The data analysis of case control studies and several types of longitudinal studies are prerequisites for a successful conduct of a master thesis and an essential skill for epidemiologists.

- This online course largely overlaps with HNH-30806 Analytical Epidemiology.
- For this course you need to have basic knowledge on the statistical data analysis software R.

Learning outcomes:

After successful completion of this course students are expected to be able to:
- execute and interpret data analysis using linear regression models, logistic regression models, general and generalized linear models, mixed models, and Cox proportional hazard models;
- execute and interpret stratified analysis;
- adjust for confounding and identify effect modifiers using both stratified analysis and statistical modelling;
- systematically organize and document data analysis, using the statistical program R


Knowledge clips, literature study, individual assignments.


Remote proctored written exam (100%).


Kleinbaum. Survival Analysis: A Self-Learning Text.Third Edition. 2012. chapters 1, 2, 3, 4. (available online)

Compulsory for: MNHNutrition and HealthMScE: Nutritional Epidemiology and Public Health2DL