Wednesday, June 14, 2023

8:30 AM - 12:30 PM

Uppsala Biomedical Centre - Room A9:011

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Details

Due to ethical or practical reasons, observational studies are often used in health promotion research. While we are ultimately interested in causal effects (to guide interventions and policy), the majority of these observational studies rely on associational rather than causal analysis. This may result in the observed associations being spurious because of confounding, selection or measurement bias. However, in the end, causal conclusions tend to be (implicitly) made in our policy and practice recommendations. The use of causal inference methods will visualize and reduce bias improving the quality of our observational research and the resulting policy and practice recommendations.

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Speaker