SHRED: Setwise Hierarchical Rate of Erroneous Discovery

2026 Dataset Open access

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Authors: S Organ, Hong Gu
DOI: 10.32614/cran.package.shred
Cited by: 0
References: 1

Abstract

Setwise Hierarchical Rate of Erroneous Discovery (SHRED) methods for setwise variable selection with false discovery rate (FDR) control. Setwise variable selection means that sets of variables may be selected when the true variable cannot be identified. This allows us to maintain FDR control but increase power. Details of the SHRED methods are in Organ, Kenney & Gu (2026) .

Fields of Study & Subjects

Statistical Methods and Inference Statistical Methods in Clinical Trials Statistical Methods and Applications

Publication details

Publication date
11 March 2026
Language
EN
Document type
Dataset