1 citations · 1 across the 1 of their papers we have counts for
3 papers
stat.ME2023★ 1 cited
Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National Covid Collaborative Cohort data
Runqiu Wang, Ran Dai, Hongying Dai +2
One challenge in exploratory association studies using observational data is that the associations between the predictors and the outcome are potentially weak and rare, and the can…
stat.ME2021
FDR Controlled Multiple Testing for Union Null Hypotheses: A Knockoff-based Approach
Ran Dai, Cheng Zheng
False discovery rate (FDR) controlling procedures provide important statistical guarantees for the replicability in signal identification based on multiple hypotheses testing. In m…
stat.ME2018
Auto-Encoding Knockoff Generator for FDR Controlled Variable Selection
Ying Liu, Cheng Zheng
A new statistical procedure (Model-X \cite{candes2018}) has provided a way to identify important factors using any supervised learning method controlling for FDR. This line of rese…