Where: 160 Cunz Hall
The Division of Biostatistics Seminar Series invites researchers from across the nation to discuss methodological research and its implications for a variety of health issues.
- Caleb Bastian, Visiting Research Collaborator in Applied and Computational Mathematics, Princeton University, Keller Center
- "Random Measures, ANOVA models, and Uncertainty Quantification of Randomized Controlled Trials"
In this talk, Bastian will discuss a novel approach to global sensitivity analysis grounded in the variance-covariance structure of random variables derived from random measures. The proposed methodology facilitates the application of information-theoretic rules for uncertainty quantification, offering several advantages. Specifically, the approach provides valuable insights into the decomposition of variance within discrete subspaces, similar to the standard ANOVA analysis. To illustrate this point, the method is applied to datasets obtained from the analysis of randomized controlled trials on evaluating the efficacy of the COVID-19 vaccine, assessing clinical endpoints in a lung cancer study, and evaluating the efficacies of targeted therapeutics.