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Permutation inference for the general linear model a b c Anderson M Winkler Gerard R Ridgway d Matthew A Webster a Stephen M Smith a Thomas E Nichols a e

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Permutation inference for the general linear model Winkler AM Ridgway GR Webster MA Smith SM Nichols TE Permutation methods can provide exact control of false positives and allow the use

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We present a generic framework for permutation inference for complex general linear models GLMS when the errors are exchangeable and or have a symmetric distribution and show

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Winkler Anderson M Ridgway Gerard R Webster Matthew A Smith Stephen M and Nichols Thomas E 2014 Permutation inference for the general linear model

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We present a generic framework for permutation inference for complex general linear models GLMS when the errors are exchangeable and or have a symmetric distribution and show that even in the

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Permutation methods can provide exact control of false positives and allow the use of non standard statistics making only weak assumptions about the data With the availability of fast and inexpensive

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Permutation inference for the general linear model research article Author s Anderson M Winkler a b c Gerard R Ridgway d Matthew A Webster a Stephen M Smith a Thomas E

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Winkler AM Ridgway GR Webster MA Smith SM Nichols TE Permutation inference for the general linear model Neuroimage 2014 May 15 92 100 381 97 doi 10 1016 j

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Permutation inference for the general linear model Winkler AM 1 Ridgway GR 2 Webster MA 3 Smith SM 3 Nichols TE 4