This is an in-person mini-symposium with 2 keynote talks. First one focuses on efficient estimation and inference of causal contrasts in the presence of missing-not-at-random outcomes via double-sampling.
Second topic goes in depth of how AI agents begin changing how teams evaluate evidence, simulate trial scenarios, and support complex decision making, and how statisticians will play a critical role in ensuring that innovation remains rigorous, transparent, and clinically meaningful.
Speakers:
· Sebastien Haneuse PhD, Professor and Chair of Statistics, University of California, Irvine
o Title: Efficient estimation and inference of causal contrasts in the presence of missing-not-at-random outcomes via double-sampling
· Yuan Ji, Professor of Biostatistics, University of Chicago; Co-founder Bayesoft, Inc.
o Title: Clinical Trial Design in the Agentic Age
Date: 24 Sep 2026
Time: 10 AM – 1:00 PM
Venue: Duck Club, 15 Riparian View, Irvine, CA 92612
Registration: Free to OCLBASA members; Membership can be signed up on-site
Join us for an informative program, thoughtful discussion, and an opportunity to connect with colleagues across the Southern California statistics community.
Thank you
Gajanan Bhat PhD
Orange County Long Beach Chapter of the ASA
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Gajanan Bhat, PhD
Chair, Section on Biopharmaceutical Statistics, OCLBASA
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