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The percentile bootstrap test was computed as follow: we sampled with replacement from the original distributions of between-subject regression coefficients and calculated the mean of each resampled distribution.
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For robustness, the p-values associated with the global tests were computed via 1000 bootstrap samples.
To test if the differences of AUCs based on the different combination systems were statistically significant, we computed a one-sided p value for the hypothesis that the difference between the AUC of the two systems was not equal to 0. The tests were computed using a bootstrapping method [ 42, 43].
Bootstrap test was replicated 1000 times.
Bootstrap test was performed with 1,000 replicates.
A "bootstrap ratio" was computed by dividing each of the voxel "salience" by the standard error.
For each penalty value a bootstrap corrected MSE was computed as follows.
Bootstrap testing was performed for 500 repetitions.
For each window, a maximum-likelihood tree with 100 bootstraps was computed as described above.
The confidence probability was computed using a bootstrap test with 1000 replicates.
Then, 10,000 pairs were drawn with replacement from the whole testing set, and the Spearman correlation was computed in each of the bootstrap samples.
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