Topic-Contributed Paper Session
Innovative Statistical Approaches for Public Health and Global Epidemiology
Le BaoOrganizerLikun ZhangChair
Section on Statistics in Epidemiology co: IMSco: WNAR Applied
About this session
This session showcases advanced statistical methodologies addressing key global health challenges. Presenters will discuss novel techniques in infectious disease modeling, stillbirth analysis, HIV transmission, drug adherence, and high-risk populations. These methods leverage diverse data streams, Bayesian frameworks, and computational tools to inform public health interventions and policymaking. This session is ideal for researchers, practitioners, and policymakers interested in data-driven solutions for health crises. There are five talks.
5 Presentations
8:35 AM - 8:55 AM
Jessalyn Sebastian (University of California, Irvine)
Semiparametric Modeling of Recurrent Drug Adherence Patterns: Insights from the HIV Prevention Trial
8:55 AM - 9:15 AM
Ying Qing Chen (Stanford University)
9:15 AM - 9:35 AM
Fan Bu (University of Michigan)
9:35 AM - 9:55 AM
Le Bao (Penn State University)
9:55 AM - 10:15 AM
Co-authors: Ian Laga