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Proportion of Models for which the Assumption Test Failed.

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https://figshare.com/articles/dataset/_Proportion_of_Models_for_which_the_Assumption_Test_Failed_/1154183
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Pipeline(s) with the fewest failures compared to each of the other pipelines: ** at p<0.01; *** at p<0.001. aNumber of models = 87744 per pipeline. Generalized linear mixed effects models indicated that the pipelines differed with regard to the proportion of models meeting each assumption (all Fs (3, 141) >358.50, ps<0.001). bThe mCompCor and the Combined HRF + mCompCor models did not differ at p<0.05 with respect to the normality assumption. Both are indicated as representing fewer model failures than the remaining pipelines. cNumber of models = 8448 per pipeline. The pipelines differed with regard to the proportion of models meeting each assumption (all Fs (3, 141) >82.65, ps<0.001). Proportion of Models for which the Assumption Test Failed.
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2014-08-28
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