From Omics to Outcomes: Use Statistics to Power Biomarker Discovery and Precision Medicine

Tue, Aug 6, 10:30 AM - 12:20 PM

Rui WangChair

Section on Statistics in Epidemiology

6 Presentations

Large-Scale Hypothesis Testing for Individualized Causal Mediation Effects.

10:35 AM - 10:50 AM

haoyu yang (Harvard University)

Co-authors: Xihong Lin (Harvard T.H. Chan School of Public Health)

Lossless One-Shot Federated Algorithm for Genome-Wide Mixed-Type Multi-Trait Analysis

10:50 AM - 11:05 AM

Yuqing Lei

Co-authors: Ruowang Li (Cedars-Sinai Medical Center), Rui Duan, Xiaokang Liu (University of Missouri), Jin Sha (University of Pennsylvania), Adam Naj (University of Pennsylvania), Yong Chen (University of Pennsylvania, Perelman School of Medicine)

Robust and Flexible High-Dimensional Causal Mediation Model for DNA Methylation Studies

11:05 AM - 11:20 AM

An-Shun Tai (National Cheng Kung University)

Analyzing longitudinal electronic health records with clinically informative observation process

11:20 AM - 11:35 AM

Jiacong Du

Co-authors: Bhramar Mukherjee (University of Michigan), Xu Shi

MCEM algorithm to detect imprinting and maternal effects for discordant sib-pair data

11:35 AM - 11:50 AM

Ruwani Rasanjali Herath Mudiyanselage

Co-authors: Fangyuang Zhang (Texas Tech University)

Summary data Mendelian randomization analysis accounting for the relatedness among summary statistics

11:50 AM - 12:05 PM

Kai Wang (University of Iowa)