Powerful test based on conditional effects for genome-wide screening

DOI10.1214/17-AOAS1103zbMath1393.62080OpenAlexW2794032711WikidataQ54956809 ScholiaQ54956809MaRDI QIDQ1647641

Jun Xie, Yao-Wu Liu

Publication date: 26 June 2018

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.aoas/1520564484

zbMATH Keywords

limiting null distributionhigh-dimensional testasymptotically powerfulsequence kernel association test (SKAT)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15)

Related Items (3)

Maximum-type tests for high-dimensional regression coefficients using Wilcoxon scores ⋮ Powerful test based on conditional effects for genome-wide screening ⋮ Group feature screening via the F statistic

Uses Software

• covTest
• Eigenstrat

Cites Work

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