CIRG Journal Club: March
Taylor Krajewski and Emily Shives will lead discussion of Lihua Lei's "Conformal inference of counterfactuals and individual treatment effects" (https://arxiv.org/abs/2006.06138).
Taylor Krajewski and Emily Shives will lead discussion of Lihua Lei's "Conformal inference of counterfactuals and individual treatment effects" (https://arxiv.org/abs/2006.06138).
Lihua Lei, a postdoctoral researcher in the Statistics Department at Stanford University, will speak at the April installment of the CIRG seminar series. All are welcome to attend.
John Jackson, an assistant professor in the Departments of Epidemiology, Biostatistics, and Mental Health at Johns Hopkins University, will present "The Observational Target Trial: A Conceptual Model for Measuring Disparity".
Dr. Désiré Kédagni, assistant professor of Economics at the University of North Carolina - Chapel Hill, will present "Generalized Difference-in-Differences Models: Robust-Bounds". In-person: The seminar will take place in McGavran-Greenberg 1301. Virtual: The seminar will also run live on Zoom … Read more
CIRG is meeting this Friday, February 3 from 12-2pm with both an in-person and virtual option (details below). Dr. Roland Matsouaka, Assistant Professor of Biostatistics & Bioinformatics at Duke University, will present "Overlap weights: what are we weighting for?". In-person: … Read more
CIRG is meeting this Friday, March 10 from 12-2pm with both an in-person and virtual option (details below). Dr. Lan Wen, Assistant Professor in the Department of Statistics and Actuarial Science at University of Waterloo, will be joining us virtually … Read more
The CIRG Journal Club will be meeting on Friday March 31st from 12:30-2:00 to discuss Caniglia et al. "Emulating target trials to avoid immortal time bias– an application to antibiotic initiation and preterm delivery" Epidemiology 2023. A link to the paper … Read more
CIRG is meeting Friday, April 7 from 12-2pm with both an in-person and virtual option (details below). Dr. Ellen Caniglia, Assistant Professor of Epidemiology in Biostatistics and Epidemiology at University of Pennsylvania, will be joining us to present on "Emulating … Read more