DATE: 20-25 September 2020
VENUE: Sønderborg, Denmark
The objective of this PhD course to familiarise participants to modern statistical methods for analyses of exposure data, in order to improve exposure effect analyses in occupational and environmental 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.
Date and Venue
It will take place from Sunday 20 September 2020, at 17.00 PM, to Friday 25 September 2020, at 14.00 PM, at the Sandbjerg Estate – Aarhus University Conference Centre, Sandbjergvej 102, 6400 Sønderborg, Denmark.
- 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 PublicHealth, AarhusUniversity, DK
- Ass. prof Annett Dalbøge, Department of Occupational Medicine, Aarhus University Hospital, DK
Researchers working within this field from Danish Ramazzini Centre: www.ramazzini.dk
Participants who have followed the basic PhD course in epidemiology or a similar course. It is expected that participants are familiar with logistic and linear regression analysis and are familiar with STATA.
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 Exposurematricesfor exposure assessment
- Based on the above skills be able to design exposure assessment strategies for different types of exposure in occupational and environmental cohort studies
- Evaluate advantages and drawbacks for different exposure metrics in epidemiological studies
Vivi Schlünssen and Annett Dalbøge
Literature and Software
- Burdorf A. Identification of determinants of exposure: consequences for measurement and control strategies. Occup Environ Med. 2005 May; 62(5):344-50. Review
- Peters S. Although a valuable method in occupational epidemiology, job-exposure matrices are no magic fix. Scand J Work Environ Health 2020;46(3):231-234. Editorial
- Nieuwenhuijsen, MJ, editor. Exposure assessment in occupational and environmental epidemiology. Oxford University Press 2003, ISBN 0-19-852861-2
We will use STATA version 14. All syntax/code will be presented in STATA. One month before the course, we provide the participants with the commands we use.
Form and Language
Thecoursearetrulyinteractivewithsubstantialstudentparticipationinlectures, participants presentation of own projects, groups exercises and recaps every morning. The course language is English.
Fee and How to Apply
Course fee: DKK 4680 is for:
- PhD students enrolled at partner universities of the Nordoc collaboration
- PhDstudentsfromotherinstitutionsin the open market agreement for PhD courses
- Non-PhD students
Participation in the course is without cost for:
- PhD students
- Research Year students
- Research Honours Programme students from Aarhus University
The application deadline is 23 August 2020