Hypothesis testing, power and sample size determination for between group comparisons in fMRI experiments

DOI10.1016/j.stamet.2008.05.003zbMath1213.92022OpenAlexW2071981283WikidataQ35096929 ScholiaQ35096929MaRDI QIDQ537229

John A. Sweeney, Subhash Aryal, Dave Patterson, Nicole A. Lazar, Kush Kapur, Robert D. Gibbons, Anindya Roy, Dulal Kumar Bhaumik

Publication date: 19 May 2011

Published in: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3133490

zbMATH Keywords

false discovery ratebrain imagingequality of proportionlarge sample testregions of interest

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Neural biology (92C20) Biomedical imaging and signal processing (92C55)

Uses Software

• AFNI

Cites Work

• Unnamed Item
• Estimating the proportion of false null hypotheses among a large number of independently tested hypotheses
• Local Maxima and the Expected Euler Characteristic of Excursion Sets of χ ², F and t Fields
• Testing for signals with unknown location and scale in a χ²random field, with an application to fMRI
• Statistical Issues in fMRI for Brain Imaging
• Detecting activation in fMRI data
• Mixture Modeling for Genome‐Wide Localization of Transcription Factors

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