In parallel, a linear model assessing the direct association between mean relative abundance and response demonstrated a highly significant positive effect (estimate = 0.30, P < 2.0e−16), with dataset terms again showing no significant influence (all P > 0.05), underscoring the robustness of abundance-based signals across cohorts.
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The models (for each plate and for each type of error) explained between 14.32% and 37.38% of the error distribution and were highly significant (P < 2 × 10 -16 ).
Statistical analysis via disk diffusion assays revealed highly significant differences in inhibition zone diameters among microorganisms ( p < 2 × 10 −16 ).
A model without interaction showed a highly significant effect of voxel on spectral quality ( Fig. 3 a ; F (1,79.12) = 183.73, p < 2 × 10 −16 ), with LO linewidth broader than EVC.
Finally, note that RRF was actually so fast at small chunk sizes that there was a significant overhead associated with our parallelization of the algorithm (Methods), as linear models fitted to only chunk sizes less than 200 were highly significant ( P <2.00×10 −16 ), with negative slopes (Fig. 1 b).
In the reference model (model 1), the effect of acid exposure was found to be significant and negatively associated with mobility (estimate = − 0.21, p = 0.001), while the observational time also showed a highly significant negative effect (estimate = − 0.24, p < 2 × 10 −16 ).
Smooth terms for latitude and longitude were highly significant (p < 2 × 10−16), further confirming the spatial structure of life expectancy outcomes.
Compared with dense forest, analysis of the variance between these three habitats reveals a highly significant difference ( p ‐value < 2e‐16).
The statistical analysis showed a highly significant evolution of the sugar ( p < 2 × 10 −16 ) and starch ( p < 1.339 × 10 −5 ) curves in function of the reaction time.
The highly significant (β = 2.02, z = 45.64, p < 2 × 10 −16 ) intercept, the model estimate of around 8 roadkill, shows a strong baseline effect for predictors at their reference values.
An analysis using Pearson's correlation coefficient indicates a highly significant linear relationship between bioactivities measured against human and rat targets (r = 0.71, p<2e-16).
This difference in wing length was highly significant (t = −57.479, p < 2e-16).
8(B) ] by the end of D6, which was highly significant (χ 2 = 70.3, df = 1, P = 2.0E −16 , n = 32).
After accounting for the general tendency for each participant to report higher or lower GAD-7 scores (Model 2), and adjusting for other covariates (Model 3), highly significant dose-response trends were evident (p < 2e-16 for each), adding 2–3 additional points to GAD-7 scores in highest categories of exposure ( Table 3 and S4 Table ).
An analysis of ChEMBL data demonstrated a highly significant relationship between bioactivities in human and rat targets ( R = 0.71, p < 2 e - 16 ), although outliers were identified for targets such as the Histamine H 3 receptor ( Kruger and Overington, 2012 ).
Statistical analysis using one-way ANOVA confirmed a highly significant effect of treatment on fungal growth (F(20, 42) = 56.52, p < 2 × 10 −16 ).
A highly significant difference in allelic frequencies was observed across all analyzed polymorphisms (chi-squared test, p < 2 −16 ).
The Shetland Sheepdog ranked second in all models, and both Collies and Shetland Sheepdogs were highly significant according to the logistic regression model ( p < 2 × 10 −16 ).
All pairwise comparisons were highly significant ( p ‐value < 2e−16), indicating that the distribution of Tajima's D values differs between every pair of populations. 3 Results From the DNA extracted from the six toe pads, we sequenced between 135,310,794 and 208,948,341 Illumina pair reads per sample.
Similarly, aphid counts and damage scores also showed a highly significant difference ( p -value = 2 × 10 −16 and 3.59 × 10 −14 ) ( Figure 6 C).
The variation in ancestry seen in the admixture maps of Figure 1 also result in highly significant correlations of the three ancestries with altitude of birthplace (p-values <2×10 −16 for the three ancestries): African and European ancestry decreases with altitude (r of −0.24 and −0.39, respectively), while Native American ancestry increases (r = 0.48).
The difference in this distribution was highly significant ( χ 2 p-value<2e-16).
The Cox regression p value for all these terms was found to be highly significant ( p < 2e−16).
However, the overlap between these two very different approaches is highly significant (Fisher's exact test, p < 2 × 10 −16 ), and the functional enrichments they identify are similar (see below).
Using CPH analysis, we found that, while the effect of the ablation and high sugar were both highly significant ( p < 2 × 10 −16 , table 1 ), there was no significant interaction between the treatments.