Covariate-adjusted nonparametric analysis of magnetic resonance images using Markov chain Monte Carlo
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Permutation tests are useful for drawing inferences from imaging data because of their flexibility and ability to capture features of the brain under minimal assumptions. However, most implementations of permutation tests ignore important confounding covariate... ...