Topic-Contributed Paper Session
Modern statistical methods in HIV research
Biometrics Section co: Section on Statistics in Epidemiologyco: ENAR Applied
About this session
This session represents a collaboration among members from five different Centers for AIDS Research (CFARs) across the United States and focuses on modern statistical methods in HIV research. Talks will focus on innovative statistical methods, including machine learning, causal inference, and Bayesian approaches, that were motivated by and applied to real-world challenges in HIV research.
4 Presentations
8:35 AM - 8:55 AM
Sarah Voter (Brown University)
8:55 AM - 9:15 AM
Jingxuan Zhang (Duke University School of Medicine Dept. of Biostatistics & Bioinformation)
9:15 AM - 9:35 AM
Elizabeth Brown (Fred Hutchinson Cancer Research Center)
9:35 AM - 9:55 AM
Lina Montoya (University of North Carolina at Chapel Hill)