The 79th Annual Deming Conference on Applied Statistics will be held on December 4-8, 2023.
Below is the 2023 (79th) program.

DAY

01 - Monday December 04, 2023

  • 06:30 - 08:00

    REGISTRATION

  • 07:00 - 07:50

    BREAKFAST

    Full Hot Breakfast (Covered by registration fee)

  • 08:00 - 09:00
    SESSION KEYNOTE

    KEYNOTE 1: The Power of AI, Data Sciences, and Technology in Drug Development,
    SPEAKERS: Venkat Sethuraman, Bristol Myers Squibb
    MODERATOR: Ivan S. F. Chan

  • 09:00 - 12:00
    SESSION A

    TITLE: An Introduction to Machine Learning Methods for Optimal Dynamic Treatment Decisions in Precision Medicine
    SPEAKER: Prof. Donglin Zeng, UNC and Prof. Yuanjia Wang, Columbia University
    Moderator: Kalyan Ghosh

  • 09:00 - 12:00
    SESSION B

    TITLE: Evaluating Predictive Accuracy of Survival Models Using the ROC Curve and Related Measures in Clinical Trial Applications
    SPEAKER: Kassu Mehari Beyene and Ding-Geng (Din) Chen, ASU
    Moderator: Alfred H. Balch

  • 14:00 - 17:00
    SESSION C

    TITLE: Cell and Gene Therapy: Introduction and Overview of Important Regulatory, Statistical and Operational Considerations
    SPEAKERS: Shihua Wen, Novartis, Patricia Anderson, ICON
    MODERATOR: Ivan S. F. Chan

  • 14:00 - 17:00
    SESSION D

    TITLE: Bayesian semi-parametric approaches to exposure-response modeling with time-to-event outcomes
    SPEAKERS: Tim Waterhouse, Statistics Metrum Research Group
    MODERATOR: Alfred H. Balch

  • 19:00 -

    Speaker’s and Awards Meeting (Optional Added FeeEvent)

    Speaker’s and Awards Dinner (Optional Added Fee Event)

DAY

02 - Tuesday December 05, 2023

  • 08:00 - 11:00
    SESSION E

    TITLE: Leveraging Real-World Data in Medical Product Clinical Trials Design and Analysis
    INSTRUCTOR: Chenguang Wang, Regeneron
    MODERATOR: Naitee Ting

  • 08:00 - 11:00
    SESSION F

    TITLE: Subgroup Analysis and Causal Inference with Application in Medical Research
    SPEAKER: Prof. Menggang Yu, University of Wisconsin-Madison
    MODERATOR: William Wang

  • 11:00 - 12:00
    SESSION KEYNOTE

    KEYNOTE 2 : Interpreting Deep Neural Networks towards Trustworthy AI,
    SPEAKER: Prof. Bin Yu, UC Berkeley
    MODERATOR: Alfred H. Balch

  • 14:00 - 17:00
    SESSION G

    TITLE: Sequential monitoring of adaptive randomized clinical trials
    INSTRUCTOR: Hongjian Zhu, AbbVie Inc.
    MODERATOR: Weili He

  • 14:00 - 17:00
    SESSION H

    TITLE: Win statistics (win ratio, win odds and net benefit): introduction, properties, implementations, and applications
    SPEAKERS: Gaohong Dong, BeiGene and Margaret (Meg) Gamalo, Pfizer
    MODERATOR: Jingjing Ye

DAY

03 - Wednesday December 06, 2023

  • 08:00 - 09:00
    SESSION KEYNOTE

    KEYNOTE 3: Deming’s Contributions and Big Data
    SPEAKERS: Prof. David Banks, Duke University
    MODERATOR: Alfred H. Balch

  • 09:00 - 12:00
    SESSION I

    TITLE: Statistical Strategies and Practical Considerations for Dose Optimization
    SPEAKER: Prof. Ying Yuan, University of Texas, MD Anderson Cancer Center
    MODERATOR: Jerry Li

  • 09:00 - 12:00
    SESSION J

    TITLE: Bayesian Adaptive Statistical Approaches for Accelerating Drug & Medical Device Approvals in Rare Disease
    SPEAKERS: Bradley P. Carlin, PharmaLex – US
    MODERATOR: Din Chen

  • 14:00 - 17:00
    SESSION K

    TITLE: Introduction to Adaptive Design Methods for Dose and Treatment Selection
    SPEAKERS: Prof. Haitao Pan, St. Jude Children’s Research Hospital
    MODERATOR: Naitee Ting

  • 14:00 - 17:00
    SESSION L

    TITLE: Enhancing Treatment Effect Assessment through Covariate Adjustment Methods
    SPEAKERS: Margaret Gamalo, Jinma Ren, Wenjin Wang, Pfizer Inc
    MODERATOR: Li-An Xu

DAY

04 - Thursday December 07, 2023

  • 08:00 - 17:00
    SHORT COURSE 1 (Dec 7 -Dec 8)

    Real-world Evidence in Medical Product Development
    Speakers: Weili He, Yixin Fang, and Hongwei Wang, Abbvie
    Moderator: Jerry Li

  • 08:00 - 17:00
    SHORT COURSE 2 (Dec 7-Dec 8)

    Statistical Analysis with Missing Data
    Speakers: Prof. Rod Little, University of Michigan, and Prof. Qixuan Chen, Columbia University
    Moderator: Alfred H. Balch

DAY

05 - Friday December 08, 2023

  • 08:00 - 13:10

    SHORT COURSE 1 ( continued )

    Real-world Evidence in Medical Product Development
    Instructors: Weili He, Yixin Fang, and Hongwei Wang, Abbvie
    Moderator: Jerry Li

  • 08:00 - 13:10

    SHORT COURSE 2 ( continued )

    Statistical Analysis with Missing Data
    Prof. Rod Little, University of Michigan, and Prof. Qixuan Chen, Columbia University
    Moderator: Alfred H. Balch

All tutorial and short course titles, presenters and moderators from 1970 onward are on www.demingconference.org

Session is based on a recently published text that is available for a discounted price. All times in the schedule refer to US EST Time *Conference information with links to participate will be sent to registrants on Nov 2021