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The significance of departure from randomness was assessed by random labeling performing 1000-time simulatoons to establish upper and lower confidence limits.
The genetic variability among cysticerci from the same pig and that from different pigs was assessed by random amplified polymorphic DNA markers (RAPDs), through the percentage of polymorphic loci, the number of effective alleles, the expected heterozygosity and the Shannon index.
Variability in GDM between hospitals within states (assessed by random intercepts for hospitals) contributed to 14.7%.
Significance was assessed by random permutations of the genotypes between progenitors.
Figure 3 shows the relative importance of each measure as assessed by random forest regression.
Statistical significance was assessed by random permutation of the phenotypes or expression levels relative to the genotype data.
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Predictors of CD4 count slopes from 6 months after initiation were assessed by random-effects linear regression models.
Predictors of the CD4 slope at time T was assessed by random-effect linear regression models which take account of within and between patient variability.
The accuracy of the classification was assessed by 949 random samples, each consisting of a polygon created by the segmentation algorithm.
Significance was assessed by 10,000 random permutations.
The statistical significance of co-expression of each gene cluster was assessed by a random scrambling test.
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