Event for expert public only
The paradox of the BMI paradox
The paradox of the BMI paradox
"In this lecture, I will use the widely discussed obesity paradox as an example of how data from observational and experimental studies might not line up. I will focus on the methodological aspects of these so-called paradoxes. Often, residual confounding is blamed in observational studies, but from the obesity paradox, we learn that many other issues could be responsible. I will explore to what extent selection bias might be the true culprit behind these so-called paradoxes, but I will also dive into concepts of causal inference (e.g. exchangeability, positivity, and consistency). I will conclude the session by providing some practical tips for methodology-focused researchers on how to handle a paradox when you see one."-- Bob Siegerink, Epidemiology research group leader at the Center for Stroke Research (Charité), @BobSiegerink
If you plan to attend, register here (space limited): goo.gl/forms/I1wR3mH3ZcqyIdh83
Organizational and administrative matters
Speakers
Dr. Bob Siegerink
Event organizer
Berlin Epidemiological Methods Colloquium,
Jessica Rohmann, Bob Siegerink, and Tobias Kurth (Institute of Public Health)
Time
16:00 - 18:00
Venue/location
Seminar Room of the Neurology Clinic, first floor (Alte Nervenklinik)
Bonhoefferweg 3, Charité Universitätsmedizin Berlin- Campus Mitte, 10117 Berlin
(Map: www.charite.de/service/lageplan/plan/map/ccm_bonhoefferweg_3)
Downloads
Contact
Jessica.rohmann@charite.de