11 citations · 11 across the 2 of their papers we have counts for
5 papers · 1 filter
High-Dimensional Assisted Learning for Vertically Distributed Data with Blockwise Missingness
Yuwen Long, Shuyuan Wu, Yin Xia
In multi-institutional studies, different parties hold distinct feature blocks for partially overlapping sets of individuals. Responses may also be missing for some records. In suc…
Integrative High Dimensional Multiple Testing with Heterogeneity under Data Sharing Constraints
Molei Liu, Yin Xia, Kelly Cho +1
Identifying informative predictors in a high dimensional regression model is a critical step for association analysis and predictive modeling. Signal detection in the high dimensio…
Paired Test of Matrix Graphs and Brain Connectivity Analysis
Yuting Ye, Yin Xia, Lexin Li
Inferring brain connectivity network and quantifying the significance of interactions between brain regions are of paramount importance in neuroscience. Although there have recentl…
Hypothesis Testing for Network Data with Power Enhancement
Yin Xia, Lexin Li
Comparing two population means of network data is of paramount importance in a wide range of scientific applications. Many existing network inference solutions focus on global test…
Individual Data Protected Integrative Regression Analysis of High-dimensional Heterogeneous Data
Tianxi Cai, Molei Liu, Yin Xia
Evidence-based decision making often relies on meta-analyzing multiple studies, which enables more precise estimation and investigation of generalizability. Integrative analysis of…