Assessing mean and median filters in multiple testing for large-scale imaging data

DOI10.1007/s11749-013-0341-7zbMath1297.62143OpenAlexW1997484194WikidataQ42221178 ScholiaQ42221178MaRDI QIDQ464437

Chunming Zhang

Publication date: 17 October 2014

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-013-0341-7

zbMATH Keywords

sensitivitymedian\(p\)-valuespecificityfalse discovery ratebrain fMRI

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Image analysis in multivariate analysis (62H35)

Related Items (1)

Variable selection procedures from multiple testing

Cites Work

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• Semiparametric detection of significant activation for brain fMRI
• Does median filtering truly preserve edges better than linear filtering?
• On the distribution of the sum of independent uniform random variables
• Multiple testing via \(\mathrm{FDR}_L\) for large-scale imaging data
• Asymptotic Statistics
• Strong Control, Conservative Point Estimation and Simultaneous Conservative Consistency of False Discovery Rates: A Unified Approach

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