A BRIEF OVERVIEW OF PERMUTATION TESTING WITH EXAMPLES Posted By: NITRC ADMIN - Mar 19, 2018Tool/Resource: Organization for Human Brain Mapping By Tian Ge, BT Thomas Yeo, Anderson M Winkler Permutation methods are a class of statistical tests that, under minimal assumptions, can provide exact control of false positives (i.e., type I error). The central assumption is simply that of exchangeability, that is, swapping data points keeps the data just as likely as the original. With the increasing availability of inexpensive large-scale computational resources and openly shared, large datasets, permutation methods are becoming popular in ne [...] Link to Original Article |
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