Comments on: ``Hierarchical inference for genome-wide association studies: a view on methodology with software

DOI10.1007/s00180-019-00942-7zbMath1505.62183OpenAlexW2996809630WikidataQ126404365 ScholiaQ126404365MaRDI QIDQ5970858

Ruth Heller

Publication date: 28 May 2020

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-019-00942-7

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12) Ridge regression; shrinkage estimators (Lasso) (62J07) Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Unnamed Item
• Replicability analysis for genome-wide association studies
• Exact post-selection inference, with application to the Lasso
• Screening for Partial Conjunction Hypotheses
• Hierarchical False Discovery Rate–Controlling Methodology
• Post-Selection Estimation and Testing Following Aggregate Association Tests
• Rejoinder: ‘Gene hunting with hidden Markov model knockoffs’

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