Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1151049 | Statistical Methodology | 2009 | 14 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Dulal K. Bhaumik, Anindya Roy, Nicole A. Lazar, Kush Kapur, Subhash Aryal, John A. Sweeney, Dave Patterson, Robert D. Gibbons,