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