System Thinking – Karien Stronks, PhD, Professor of Public Health at the Academic Medical Centre/University of Amsterdam/Amsterdam UMC.
The outcomes of many epidemiological studies are not the result of single risk factors, but the result of a complex system of factors operating and interacting at different levels. In the past years, there has been rapidly growing interest in the applicability of Systems science in which the emphasis is placed on understanding the ‘whole’ system, rather than focusing exclusively on individual components. This masterclass gives an introduction of the approach, and an hands-on experience with individual and group construction of system models .
Causality – Jay S Kaufman, PhD, Professor at the Department of Epidemiology, Biostatistics & Occupational Health of McGill University
This 90 minute tutorial will introduce fundamental issues of causal inference in epidemiological research, including:
1) The distinction between causation and association, 2) Sampling variability and adjustment rituals, 3) Causal structures, 4) Measures of effect versus measures of association, 5) Noncollapsibility of the odds ratio and 6) Understanding confounding via latent causal types.
Only basic epidemiological and statistical background is assumed.
Debate: ‘Uncertainty in your career’
Description follows soon.
Speeddates: meet the professsors
Make sure to be part of this session in which you can informally speak with experts in the field of Epidemiology about their area of expertise, but also about all the hurdles and failures they have had to overcome to be in their current position. Maximum amount of people for this session is limited to 40.