The Kolokotrones Circle is weekly gatherings to discuss methodological issues that arise when using health data for causal inference. We talk about the design of observational analyses, g-methods, per-protocol analysis of randomized trials, transportability, data management, machine learning algorithms… you name it.
Most Circles are organized as informal presentations during which CAUSALab students, postdocs, and other junior investigators present issues encountered in the course of their ongoing research. Possible solutions are discussed by the group, which includes faculty members from the Departments of Biostatistics and Epidemiology.
Meetings are on Fridays from 1:00-2:00 PM EST during the academic year in the Department of Epidemiology Library unless otherwise stated. The Kolokotrones Circles are not open to the public.
