17 citations · 19 across the 3 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★ 1 cited
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★ 17 cited
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…