Activities & Events

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

May 31

Gaussian processes for extrapolative inference -- a powerful tool for addressing model-dependency and uncertainty

CAUSAL LEARNING GROUP

Chad Hazlett, Doeun Kim, Soonhong Cho

May 24

Causal progress with imperfect placebo treatments and outcomes

CAUSAL LEARNING GROUP

Adam Rohde

May 10

Regression-based proximal causal inference

Distinguished Guest Speaker

Eric J. Tchetgen Tchetgen

Join us over Zoom for a talk with Dr. Eric Tchetgen Tchetgen on regression-based proximal causal inference (see details below).When: May 10th @ 11:00am - 12:15pm PSTHow to Join: Click on this LINK at the start...
May 3

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

Chad Hazlett, Onyebuchi Arah, David Ami Wulf

April 16

Detecting and refuting monotonicity

CAUSAL LEARNING GROUP

Scott Mueller

February 16

Analyzing the impact of events through surveys: Formalizing biases and introducing the dual randomized survey design

CAUSAL LEARNING GROUP

Andrew Bertoli

February 9

Double robust, flexible adjustment methods for causal inference: An overview and an evaluation

CAUSAL LEARNING GROUP

Nathan Hoffmann

February 2

Causal estimands when competing events are present

CAUSAL LEARNING GROUP

L. Paloma Rojas-Saunero

January 16

Understanding regression’s “weighting problem” and its simple, longstanding, equivalent fixes

Causal Learning Group

Tanvi Shinkre