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Hypothesis Testing, Power and Sample Size Determination for Between Group Comparisons in fMRI Experiments
by
Dulal K. Bhaumik
Division of Epidemiology & Biostatistics, University of Illinois at Chicago
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 look at a number of possible models for the analysis of fMRI data from multiple subjects, and develop tests that lead to calculations of power and sample size for between group comparisons. Sample size calculations are particularly critical for neuroscientists who use these new techniques, since each subject is expensive to image.
Date received: September 28, 2005
Copyright © 2005 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # caqt-99.