Fighting or Embracing Multiplicity in Neuroimaging? Neighborhood Leverage versus Global Calibration

Pages: 706747
Published: Sep 15, 2019
Abstract
null Neuroimaging faces the daunting challenge of multiple testing – an instance of multiplicity – that is associated with two other issues to some extent: low inference efficiency and poor reproducibility. Typically, the same statistical model is applied to each spatial unit independently in the approach of massively univariate modeling. In dealing with multiplicity, the general strategy employed in the field is the same regardless of the...
Paper Details
Title
Fighting or Embracing Multiplicity in Neuroimaging? Neighborhood Leverage versus Global Calibration
Published Date
Sep 15, 2019
Journal
Pages
706747
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