23-25 October 2024

Rockville, MD - USA

Bayes 2024

23 October 2024

Short Course

- included with conference registration fee

09:00 - 12:30
J. Kyle Wathen
Cytel
Simulating a Bayesian Platform Trial Using OCTOPUS

Invited Plenary Speakers

Amy Crawford
Berry Consultants
Identifying the Population Responsive to EVT: Bayesian Modeling in the STEP Platform Trial
Jennifer Kirk
FDA/CBER
Bayes and FDA’s Real World Evidence Program: 5 Years at CBER
Bhramar Mukherjee
University of Michigan
Understanding Biological Mechanisms through High Dimensional Bayesian Mediation Analysis
Peter F. Thall
MD Anderson Cancer Center
Bayesian Personalized Treatment Selection for Advanced Breast Cancer
James Travis
FDA/CDER
The future of the Bayesian Biostatistics in the regulatory world
Yanxun Xu
Johns Hopkins University
Enhancing Decision Making with Causal Inference and Unmeasured Confounders in a Bayesian Framework
Ying Yuan
MD Anderson Cancer Center​
A Bayesian latent-subgroup phase I/II platform design to co-optimize doses in multiple indications
Yize Zhao
Yale University
Bayesian Modeling for Brain Connectivity and Its Link to Genetics and Behavior

SPONSORED BY

Code of Conduct

The Adolphe Quetelet Society is an official region of the International Biometric Society (IBS). As such the society endorses the same objectives and Code of Conduct as its mother organization:

IBS Code of Conduct : The International Biometric Society (IBS) highly values professional and appropriate behavior at all times. This involves scientific and ethical integrity, as well as respectful conduct towards others regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearances, race, religion (or lack thereof) or beliefs.

Members of the IBS, as well as everyone employed on behalf of IBS or attending events organized by IBS, are expected to endorse this position and they agree to be considerate in speech and actions, to respect others, and to refrain from demeaning, discriminatory, or harassing behavior and speech, at all times.

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