Training Course on Quantitative Exposure Assessment in Occupational and Environmental Epidemiology

posted in: Events, OMEGA-NET Events | 0

DATE: 16-21 June 2019
VENUE: Sønderborg, Denmark

Harbour_of_Sønderborg. [Image: Wikipedia]
Harbour of Sønderborg. [Image: Wikipedia]

The objective of this OMEGA-NET training school is to familiarise participants to modern statistical methods for analyses of exposure data, in order to improve exposure effect analyses in occupational epidemiological studies. The goal is to train the participants, so they are able to evaluate the literature on the topic and to perform basal analyses themselves after the course, which relates directly to the concept of OMEGA-NET.

OMEGA-NET is a European project with the overarching concept of creating a network to optimize and integrate occupational, industrial, and population cohorts to provide a foundation for an enhanced evidence base for safe and healthy workplaces.


Time and place

Sunday 16 June 2019 17.00 PM – Friday 21 June 2019 14.00 PM. The Sandbjerg Estate – Aarhus University Conference Centre, Sandbjergvej 102, 6400 Sønderborg, Denmark.



All lectures are actively engaged in OMEGA-NET:

  • Prof Alex Burdorf (AB), Dept. of Public Health, Erasmus MC, Rotterdam, NL
  • Dr Susan Peters (SP), Institute for Risk Assessment Sciences, Utrecht University, NL
  • Prof Henrik Kolstad (HK), Department of Occupational Medicine, Aarhus University Hospital, DK
  • Prof Vivi Schlünssen (VS), Department of Public Health, Aarhus University, DK

Researchers working within this field from Danish Ramazzini Centre:



Participants with a basic understanding of epidemiology.

Some experience with basic analysis of variance is needed. If possible, it will be an advantage to bring a lap top with excel and if possible with STATA version 14 or later installed. We will have a few extra laptops available.

The deadline for sending the APPLICATION FORM is April 20, 2019.


Course director

Vivi Schlünssen


After the course the participants will be able to:

  • Understand the basic concept of exposure and exposure variability
  • Understand the theory of bias and random error, within and between person variability, and attenuation of exposure-response
  • Perform random effect analyses to estimate determinants of exposure and understand implications for within and between person variability
  • Understand the construction and applications of job Exposure matrices for exposure assessment
  • Based on the above skills be able to design exposure assessment strategies for different types of exposure in occupational cohort studies
  • Evaluate advantages and drawbacks for different exposure metrics in epidemiological studies


Form and Language

The course is truly interactive with substantial student participation in lectures, participants presentation of own projects, groups exercises and recaps every morning. The course language is English.


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