The PCI Lab hosts a causal learning group consisting of students and faculty from diverse disciplines including statistics, epidemiology, political science, sociology, computer science, and more. Meetings are typically held on Fridays from 11:00 am – 12:15 pm PST. If you are interested in joining us, click here to be added to our email distribution list.
Additionally, you can find a listing of past and upcoming events
below.
2024
Gaussian processes for extrapolative inference -- a powerful tool for addressing model-dependency and uncertainty
CAUSAL LEARNING GROUP
Regression-based proximal causal inference
Distinguished Guest Speaker
Safe learning outside of randomized trials: Application of the stability-controlled quasi-experiment to the effects of three COVID-19 therapies (with Wulf, Hill, Chiang, Goodman-Meza, Pasaniuc, Arah, Erlandson & Montague)
CAUSAL LEARNING GROUP
Analyzing the impact of events through surveys: Formalizing biases and introducing the dual randomized survey design
CAUSAL LEARNING GROUP
Double robust, flexible adjustment methods for causal inference: An overview and an evaluation
CAUSAL LEARNING GROUP
Understanding regression’s “weighting problem” and its simple, longstanding, equivalent fixes
Causal Learning Group