January 13, 2021
When Is Causal Thinking Needed for Prediction?
Matthew Sperrin, Manchester, UK
On YouTube – click on this link
February 3, 2021
Digital N-Of-1 Trials: Connecting Personalised Medicine and Population-Level Studies?
Stefan Konigorski, Potsdam, Germany
On YouTube – click on this link
March 3, 2021
Comparing Effect Estimates in Randomised Trials and Observational Studies
Anthony Matthews, Stockholm, Sweden
On YouTube – click on this link
April 7, 2021
Social Media for Public Health #SoMe4epis
Sonia Boender, Berlin, Germany
On YouTube – click on this link
May 5, 2021
The Circle of Life: Epidemiologic Methods for Dealing With Treatment-Confounder Feedback
Eleanor Murray, Boson, USA
On YouTube – click on this link
June 2, 2021
A Cluster-Randomised Controlled Field Trial in Practice: The Food and Agricultural Approaches to Reducing Malnutrition (FAARM) Study in Bangladesh
Sabine Gabrysch, Berlin, Germany
On YouTube – click on this link
July 7, 2021
Current Methodological Challenges in the Study of Sex and Gender in Health Research
Sabine Oertelt-Prigione, Nijmegen, Netherlands
On YouTube – click on this link
September 1, 2021
The ‘Enemies’ of Reliable Predictive Analytics
Ben Van Calster, Leuven, Belgium
On YouTube – click on this link
October 6, 2021
Taking Shortcuts: Great for Travel, Dangerous for Writing Reproducible Methods Sections
Tracey Weissgerber, Berlin, Germany
On YouTube – click on this link
November 3, 2021
Causal Inference in the Presence of Interference: Generalised Propensity Score Application in Public Health
Sebastián Martínez, Glasgow, Scotland
On YouTube – click on this link
December 1, 2021
Prediction, Predictability, and Priorities
Cecile Janssens, Atlanta, USA
On YouTube – click on this link
Berlin Epidemiological Methods Colloquium (BEMC) 