5 citations · 10 across the 7 of their papers we have counts for
6 papers · 1 filter
Learning the Optimal Composite Mediator: Closed-Form Solution and Inference
Zihuai He
Understanding how an exposure transmits its effect through high-dimensional intermediaries is a central problem in observational research. We study the problem of finding a composi…
A Powerful and Precise Feature-level Filter using Group Knockoffs
Jiaqi Gu, Zihuai He
Selecting important features that have substantial effects on the response with provable type-I error rate control is a fundamental concern in statistics, with wide-ranging practic…
Controlled Variable Selection from Summary Statistics Only? A Solution via GhostKnockoffs and Penalized Regression
Zhaomeng Chen, Zihuai He, Benjamin B. Chu +4
Identifying which variables do influence a response while controlling false positives pervades statistics and data science. In this paper, we consider a scenario in which we only h…
Summary Statistics Knockoffs Inference with Family-wise Error Rate Control
Catherine Xinrui Yu, Jiaqi Gu, Zhaomeng Chen +1
Testing multiple hypotheses of conditional independence with provable error rate control is a fundamental problem with various applications. To infer conditional independence with…
Robust inference with GhostKnockoffs in genome-wide association studies
Xinran Qi, Michael E. Belloy, Jiaqi Gu +3
Genome-wide association studies (GWASs) have been extensively adopted to depict the underlying genetic architecture of complex diseases. Motivated by GWASs' limitations in identify…
Second-order group knockoffs with applications to GWAS
Benjamin B Chu, Jiaqi Gu, Zhaomeng Chen +4
Conditional testing via the knockoff framework allows one to identify -- among large number of possible explanatory variables -- those that carry unique information about an outcom…