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We evaluated model fits using the area under curve (AUC) for which 0.5 corresponds to random expectation and 1 to perfect fit and tested significance using a randomization test (see Root et al. 2011for details of model selection).
Validation of the ranking has been carried out using a randomization test and a seven-fold cross-validation.
Using a randomization test to account for the large difference in sample sizes, we found that the scores of the graduate students and undergraduate students were not significantly different (Figure 4b, P = 0.373).
Significance of A is tested using a randomization test.
The significance of independent effects was calculated using a randomization test with 1000 iterations [52].
The correlation was tested for statistical significance at 0.05 level using a randomization test with 1000 iterations [65].
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We used a randomization test to determine whether undergraduate and graduate student scores on the post-activity assessment were equivalent.
To test correlations among fruit morphology variables and ecological variables (geographic range size, and human usage) we used a randomization test (N = 10000 resamplings).
To compensate we used a randomization test to compare the observed disparity in a module with the distribution of random configurations of the same number of landmarks, with landmarks pulled from the full set, including landmarks from both "strong" and "weak" modules (Disparity A).
We used a randomization test to test for changes in variance.
First, we used a randomization test to evaluate the possibility that any QTL would overlap a candidate gene.
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