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

Dulal K. Bhaumik, Anindya Roy, Nicole A. Lazar, Kush Kapur, Subhash Aryal, John A. Sweeney, Dave Patterson, Robert D. Gibbons

Research output: Contribution to journalArticle

10 Scopus citations

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 languageEnglish
Pages (from-to)133-146
Number of pages14
JournalStatistical Methodology
Volume6
Issue number2
DOIs
StatePublished - 1 Mar 2009

Keywords

  • Brain imaging
  • Equality of proportion
  • False discovery rate
  • Large sample test
  • Regions of interest

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    Bhaumik, D. K., Roy, A., Lazar, N. A., Kapur, K., Aryal, S., Sweeney, J. A., Patterson, D., & Gibbons, R. D. (2009). Hypothesis testing, power and sample size determination for between group comparisons in fMRI experiments. Statistical Methodology, 6(2), 133-146. https://doi.org/10.1016/j.stamet.2008.05.003