Concurrent

CS5c: Illuminating Insights Through Statistical Inquiry

Fri, Nov 14, 10:00 AM - 11:30 AM Virtual Conference

3 Presentations

Causal inference in meta-analyses with Dirichlet process mixture models and Bayesian networks

10:00 AM - 11:30 AM

Co-authors: Ellery Galvin, Eric Vance (LISA, University of Colorado-Boulder), Ellery Galvin

Bayesian hierarchical modeling Dirichlet process mixture modeling Bayesian network meta-analysis data reuse causal inference

DEVELOPING SNP INTERACTION POLYGENIC RISK SCORES

10:00 AM - 11:30 AM

Co-authors: Indrani Sarkar (Cincinnati Children's Medical Center), Hui-Yi Lin (Louisiana State University Health Sciences Center), Indrani Sarkar (Cincinnati Children's Medical Center)

Polygenic Risk score Aggressive Prostrate Cancer SNP interaction

Replicability of Functional Brain Networks: A Study Through the Lens of the Default Mode Network

10:00 AM - 11:30 AM

Co-authors: Kaitlyn Fales (Pennsylvania State University), Xurui Zhi (Statistics Department, Pennsylvania State University), Kaitlyn Fales (Pennsylvania State University), Hyebin Song (Penn State), Nicole Lazar (Pennsylvania State University)

functional connectivity functional network replicability default mode network preprocessing