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

Modern methods for imaging the human brain, such as functional magnetic resonance imaging (fMRI) present a range of challenging statistical problems. In this paper, we first develop a large sample based test for between group comparisons and use it to determine the necessary sample size in order to...

Full description

Saved in:
Bibliographic Details
Published in:Statistical methodology 2009-03, Vol.6 (2), p.133-146
Main Authors: Bhaumik, Dulal K., Roy, Anindya, Lazar, Nicole A., Kapur, Kush, Aryal, Subhash, Sweeney, John A., Patterson, Dave, Gibbons, Robert D.
Format: Article
Language:English
Subjects:
Brain imaging
Equality of proportion
False discovery rate
Large sample test
Regions of interest
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Modern methods for imaging the human brain, such as functional magnetic resonance imaging (fMRI) present a range of challenging statistical problems. In this paper, we first develop a large sample based test for between group comparisons and use it to determine the necessary sample size in order to obtain a target power via simulation under various alternatives for a given pre-specified significance level. Both testing and sample size calculations are particularly critical for neuroscientists who use these new techniques, since each subject is expensive to image.
ISSN:1572-3127
1878-0954
DOI:10.1016/j.stamet.2008.05.003