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.
Original language | English |
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Pages (from-to) | 133-146 |
Number of pages | 14 |
Journal | Statistical Methodology |
Volume | 6 |
Issue number | 2 |
DOIs | |
State | Published - Mar 2009 |
Keywords
- Brain imaging
- Equality of proportion
- False discovery rate
- Large sample test
- Regions of interest