Hypothesis testing, power and sample size determination for between group comparisons in fMRI experiments |
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Authors: | Bhaumik Dulal K Roy Anindya Lazar Nicole A Kapur Kush Aryal Subhash Sweeney John A Patterson Dave Gibbons Robert D |
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Affiliation: | Center for Health Statistics, University of Illinois at Chicago, 1601 W Taylor Street (MC 912), Chicago, IL 60612, United States. |
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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. |
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