3 papers
stat.ML2026
A Unified Framework for Structure-Aware Clustering and Heterogeneous Causal Graph Learning
Honglin Du, Muxuan Liang, Xiang Zhong
In complex multivariate systems, interactions among variables are defined by dependency structures, often encoded as directed acyclic graphs (). However, dependency st…
stat.ME2022
Efficient surrogate-assisted inference for patient-reported outcome measures with complex missing mechanism
Jaeyoung Park, Muxuan Liang, Ying-Qi Zhao +1
Patient-reported outcome (PRO) measures are increasingly collected as a means of measuring healthcare quality and value. The capability to predict such measures enables patient-pro…
stat.ME2020
Robust and flexible learning of a high-dimensional classification rule using auxiliary outcomes
Muxuan Liang, Jaeyoung Park, Qing Lu +1
Correlated outcomes are common in many practical problems. In some settings, one outcome is of particular interest, and others are auxiliary. To leverage information shared by all…