viverrini infections were observed (5.7%), owing to a highly significant difference among study location (likelihood ratio test (LRT) = 51.35, P <0.001).
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It was further differentiated between extremely significant (***, p < 0.001), very significant (**, p = 0.001 to 0.01) and significant (*, p = 0.01 to 0.05) results.
Age showed no statistically significant differences when classifying the population by sex ( p = 0.297), however, in both treatment follow-up and anthropometric variables, highly significant differences were observed ( p < 0.001), with better results observed in men ( Table 1 ).
solani cells was significantly lower than the control group (P < 0.05) and an extremely significant difference (P < 0.001).
The multivariate regression of the shape component on size, estimated by the logarithm of the centroid size, was highly significant (F = 16.5, p <0.001, dl = 105).
Furthermore, location and genotype had a highly significant effect (p < 0.001) on the CNP and DM of roots and leaves.
All participants got adapted, although to a variable extent ( Figure 2B ), as also confirmed by the two-way ANOVA which showed a highly significant main effect of Adaptation [ F (1, 15) = 45.818; p < 0.001; ƞ p 2 = 0.75] and Adaptation x Numerosity [ F (4, 60) = 9.667; p = 0.001; ƞ p 2 = 0.39].
Although all time points demonstrated highly significant statistical differences between classes ( p < 0.001), the gap between Class 1 and Class 2 narrowed over time, with their difference decreasing from 1.25 points at T1 to 0.43 points by T4, while Class 3 remained distinctly lower throughout all time points (Fig. 3 ).
The correlation between the levels of VASP-PRI and VerifyNow-PRU was highly significant (r = 0.682, p < 0.001) (Figure 2 ).
A logistic regression analysis demonstrated that the performance of preoperative NRI and dSMI in mortality prediction was quite significant (AUC: 0.63, P < 0.001) and the combination of clinical factors enhanced the predictive accuracy to the AUC of 0.90 ( P < 0.001).
The model performance was decreased compared to the full model but still highly significant ( r = 0.53, P < 0.001).
However, up to T14, no significant differences ( p > 0.05) were observed between the tests, whereas at T28, the difference was highly significant ( p < 0.001) between the control (an increase of 130%) and treatments, as was consequently the difference recorded for the relative growth rate (RGR) ( p < 0.001) ( Figure 3 and Figure 4 ; Table S3 ).
8D ), in which only 80±3 out of 608±18 links (13%) were intra-continental links; again, a highly significant decrease by more than one-half compared to the GMN (empirical P -value <10 −3 ).
In a previous study on the LiTOX strain, we have validated the reliability of mRNA sequencing pooled data for inferring population allelic frequencies on 269 SNP: the correlation between allelic frequencies obtained from pooled mRNA sequencing (180 pooled larvae) and individual genotypes (N = 28 individuals) obtained using a DNA Illumina GoldenGate array was highly significant (P <0.001, r =0.85) [ 51 ].
Measuring respiration rate in flies housed under laboratory conditions A highly significant gender effect on BM was observed, with female flies being significantly heavier ( F = 700.8, P < 0.001; Fig. 3 A) compared to males, although no significant treatment ( F = 0.589, P = 0.560) or sex × treatment interaction effect ( P > 0.05) was seen.
At 3 weeks, the effect of the group was not significant (F 2,69 = 0.50, p = 0.61), whereas the number of littermates had a highly significant effect (F 1,69 = 21.6, p < 0.001).
Results show that the PhiPT value of 0.73 is highly significant ( p = .001).
A two-way ANOVA showed a highly significant ( p < 0.001) effect of concentration and exposure time (harvest) on growth parameters, except for root fresh weight (RFW) and leaf fresh weight (LFW) for the effect of exposure ( Table 1 ).
Bartlett’s test of sphericity, which is particularly sensitive with small sample sizes, was highly significant ( p < 0.001; Worthington and Whittaker, 2006 ).
Estimated genetic differentiation (G ST ) at locus level varied from 0.67 (for SLR20) to 0.89 (for TomSatX11-1), with a mean of 0.77, and was highly significant at all loci ( p = 0.001) ( Table 2 ). 3.2.
On statistical analysis the difference between means of P100 latency for the visual angles 15 and 30 minutes with reference to its value for 120 minutes (8 × 8) was statistically highly significant ( P < 0.001).
Pairwise t -tests showed all correlation increases from null were highly significant ( P <0.001).
Using multivariate analysis, after adjusting for known confounders including age, sex, race, insurance, presence of family history of psychiatric disorder, we found a highly significant association between psychiatric disorders and IBD diagnosis (IBD or CD or UC), p <0.001 (aOR: 5.1, CI: 4.84–5.43; p <0.001).
We also analyzed the breast cancer-specific survival and slightly significant differences were observed (χ 2 = 140.4, P < .001, Fig. 2 A).
Statistical significance was defined as significant (* p value ≤ 0.05), very significant (** p value ≤ 0.01), and highly significant (*** p value ≤ 0.001). 5.