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8:15 AM
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Coffee, pastry, and fruits will be served
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8:30 - 8:40 AM
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Opening remarks
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8:40 - 10:10 AM
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Session I - Chair: Hongjian Zhu, AbbVie
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Sofia Villar, University of Cambridge
Recent
Advances for the Design, Analysis, and Implementation of
Response-Adaptive Designs: Are We There Yet?
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Feifang Hu, George Washington
University
Adaptive Designs and GenAI: A Great Match?
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Boxin Tang, Simon Fraser University
Fractional
Factorial Designs Under the Baseline Parametrization
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10:30 - 11:30 AM
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Session II - Chair: Xinwei Ma, UC San Diego
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Bin Yu, UC Berkeley
Veridical Data Science
Towards Modern Experimental Design in the Age of AI
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Luke Keele, University of Pennsylvania
Flexibly
Estimating and Interpreting Heterogeneous Treatment Effects of
Laparoscopic Surgery for Cholecystitis Patients
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11:30 - 1:00 PM
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Lunch and Photo Session, Alumni House
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1:00 - 2:00 PM
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Session III - Chair: Lexin Li, UC Berkeley
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Micheal Kosorok, University of North Carolina at Chapel
Hill
Design and Analysis of SMARTs to Incorporate Patient
Preference into Dynamic Treatment Regimes
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Annie Qu, University of California
Irvine
Stage-Aware Learning for Dynamic Treatments
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2:20 - 3:10 PM
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Panel Discussion - Moderator: Waverly Wei, University
of Southern California
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3:30 - 4:30 PM
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Session IV - Chair: Sofia Villar, Cambridge University
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Mark van der Laan, UC Berkeley
Learning Oracle
Designs with Targeted Adaptive Designs and Statistical Inference with
TMLE
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Anastasia Ivanova, University of North Carolina at
Chapel Hill
Applications of AI in Drug Development
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4:30 - 5:30 PM
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5:30 - 7:30 PM
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Dinner Banquet, Great China
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8:15 AM
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Coffee, pastry, and fruits will be served
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8:40 - 10:10 AM
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Session V - Chair: Xiudi Li, UC Berkeley
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Hongyu Zhao, Yale University
Causal Inference
Through Mendelian Randomization
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Tianxi Cai, Harvard University
Improving
Algorithm Generalizability and Transportability: Lesson Learned from
Multi-institutional EHR Research
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Hongtu Zhu, University of North Carolina at Chapel
Hill
Spatially Randomized Designs Can Enhance Policy
Evaluation
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10:30 - 12:00 PM
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Session VI - Chair: Feifang Hu, George Washington
University
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Yuan Ji, University of Chicago
A Bayesian
Estimator of Sample Size
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Ying Yuan, University of Texas MD Anderson Cancer
Center
Digital Controls: An Efficient, Robust, and
Privacy-Preserving Bayesian Tool for Adaptive Information Borrowing from
External Data
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Lorenzo Trippa, Harvard University
Harmonized
Estimation of Subgroup-Specific Treatment Effects in Randomized Trials:
The Use of External Control Data
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12:00 - 1:30 PM
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Lunch, Alumni House
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1:30 - 3:00 PM
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Session VII - Chair: Peng Ding, UC Berkeley
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Lu Tian, Stanford University
Dynamic Decision
Making With Individualized Variable Selection
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Alexander Volfovsky, Duke University
New
Experimental Designs with Generative AI — from Texts to Networks, to
Interacting Agents
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Waverly Wei, University of Southern
California
Covariate Adjusted Response Adaptive Design with
Delayed Outcomes
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3:00 PM
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Closing Remarks and Poster Award
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