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by Jonathan Raz, Bruce Turetsky
http://www.sph.umich.edu/~jonraz/fMRI/fdrfmri2.ps
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Abstract:
We propose Wavelet ANOVA, a simple general-purpose statistical method for analysis of signals and images. We emphasize the application of the method to functional magnetic resonance imaging (fMRI). Wavelet ANOVA combines the false discovery rate (FDR) approach to multiple comparisons with block wavelet thresholding and linear statistical models. We discuss the relationship of Wavelet ANOVA to a similar method of Ruttimann, et al. We illustrate the application of Wavelet ANOVA to analysis of an fMRI data set.
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