Learn more about previous Kolokotrones Symposia HERE


The CAUSALab Inaugural Event:
Causal Inference from Real World Data in the Era of Covid-19
13th Kolokotrones Symposium
November 5, 2021


Albert Hofman, Chair, Department of Epidemiology

The CAUSALab: A Center to Learn What Works
Miguel Hernán, Director of the CAUSALab

The CAUSALab’s Response to Covid-19: Data science for decision making
Chaired by Sonia Hernandez-Diaz, Professor of Epidemiology

Vaccines for Covid-19 prevention: Comparative effectiveness and safety
-Barbra Dickerman
Drug repurposing for COVID-19 prevention: The effects of old drugs on a new disease
-Katherine Li
Nonpharmacological interventions for the treatment and prevention of Covid-19
-Arin Madenci
-José Zubizarreta

Panel Discussion
Causal inference without randomized experiments: How do we know we are right?

-James Robins, Mitchell L. and Robin LaFoley Dong Professor of Epidemiology
Panel and discussion with the audience
-Issa Dahabreh, Miguel Hernán, Sara Lodi, and James Robins
-Moderated by Andrew Beam