3 papers
stat.ME2024
Post-selection inference for high-dimensional mediation analysis with survival outcomes
Tzu-Jung Huang, Zhonghua Liu, Ian W. McKeague
It is of substantial scientific interest to detect mediators that lie in the causal pathway from an exposure to a survival outcome. However, with high-dimensional mediators, as oft…
stat.AP2024
An Introduction to Causal Inference Methods with Multi-omics Data
Minhao Yao, Zhonghua Liu
Omics biomarkers play a pivotal role in personalized medicine by providing molecular-level insights into the etiology of diseases, guiding precise diagnostics, and facilitating tar…
stat.ME2023
High-dimensional Feature Screening for Nonlinear Associations With Survival Outcome Using Restricted Mean Survival Time
Yaxian Chen, KF Lam, Zhonghua Liu
Feature screening is an important tool in analyzing ultrahigh-dimensional data, particularly in the field of Omics and oncology studies. However, most attention has been focused on…