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Clusters 2 and 3 were significantly different from one another (paired t test, t6 = 2.476, p = 0.048), but no other pairwise comparison between clusters was statistically different (paired t tests, 1 vs. 2: t6 = -1.138, p = 0.299; 1 vs 3: t6 = 1.341, p = 0.228).
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With the exception of the sex variable, the values from the chi-square test indicated that the sociodemographic and behavioral differences between clusters were statistically significant.
Overall, it appeared that clusters should be grouped as follows: Cluster 1 Age-specific preference Cluster 2—Combined age-specific and site-specific preference Cluster 3—Cancer site-specific preference The variation in responses between the three clusters was statistically significant for all questions (p≤0.01 Age-specificxcepreferenceuestion 20 (p=0.61).
This difference (cluster C versus other clusters) was statistically significant (pChi2 = 0.008, OR = 2.13[1.2 3.79]).
The differences between all of the arms for calcification clusters were statistically significant (P < 0.05).
The overlap between dauer enriched clusters and dauer-exit enriched clusters is statistically significant (Fisher's exact test p-values = 0.0185 and 6.833E-06 respectively).
All clusters were statistically significant except for var.
We consider the (m, n) miRmR module to be potentially regulatory if (i) the association between the mth miRNA cluster and nth mRNA cluster is statistically significant and (ii) each miRNA in the mth cluster targets a majority of mRNAs in the nth cluster.
For each statistic, asterisks are used to indicate when the value for a cluster is statistically different from the value for the Tea Party cluster.
The between-treatments difference was statistically significant.
The difference between treatments was statistically significant (P <.05).
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