A general interactive framework for false discovery rate control under structural constraints

DOI10.1093/biomet/asaa064OpenAlexW2763433482MaRDI QIDQ5022098

William Fithian, Aaditya Ramdas, Lihua Lei

Publication date: 18 January 2022

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1710.02776

zbMATH Keywords

knockoffmaskingfalse discovery ratedata carvingaccumulation testinteractive multiple testing

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (9)

LAWS: A Locally Adaptive Weighting and Screening Approach to Spatial Multiple Testing ⋮ Optimal false discovery rate control for large scale multiple testing with auxiliary information ⋮ False Discovery Rates to Detect Signals from Incomplete Spatially Aggregated Data ⋮ Further results on controlling the false discovery rate under some complex grouping structure of hypotheses ⋮ Filtering the Rejection Set While Preserving False Discovery Rate Control ⋮ Adaptive procedures for directional false discovery rate control ⋮ False Discovery Rate Control Under General Dependence By Symmetrized Data Aggregation ⋮ Multiple Testing When Many p-Values are Uniformly Conservative, with Application to Testing Qualitative Interaction in Educational Interventions ⋮ Multiple Testing with the Structure-Adaptive Benjamini–Hochberg Algorithm

This page was built for publication: A general interactive framework for false discovery rate control under structural constraints