Particularly, correlation for Pb in blood and teeth reprocessed by the log-linear regression model and after exclusions of outliers was highly significant ( r = 0.65, p < 0.001), as shown in Fig. 1 .
Excerpts
The association of facet tropism with sacralisation using chi square test of independence was found to be highly significant at X 2 (1, N = 230) = 53.010 P < .001.
These metal-ion-specific effects are highly significant as shown by one-way ANOVA (P<0.001, Figure 7B ).
Contrary to expectations, two-way ANOVA analysis of the skeletal phenotype at 6, 12, and 18 wk of age ( Figure 1b , Table 1 , Figure 1—figure supplement 1c , Supplementary file 1 ), revealed highly significant ( P <0.001) anabolic effects of Rspo3 haplo-insufficiency on structural, cellular, and dynamic parameters in both female and male mice.
P < 0.05 was considered statistically significant, P < 0.01 was highly significant, and P < 0.001 was more significant when compared with corresponding values.
Plaque index The mean reduction in plaque score for control group from baseline to 90 th day was 87%, which was highly significant ( P <0.001).
By linear and linear association, there was a decreasing trend of the hypoparathyroidism (PTH<10 pg/mL) over time ( p <0.001).
and lateral view highly significant differences were observed ( p < 0.001).
In contrast, the ER/MT enriched fractions (#7 and #8) that display low detectable PrP res levels, contained high infectivity levels similar to the lipid raft enriched fractions, with the discrepancy at fraction #8 highly significant (p < 0.001; two way ANOVA).
The correlation between clinical score and Vyadhiksamatwa was found to highly significant (r = −0.74,p < 0.001), indicating that higher value of Vyadhiksamatwa enforces lower clinical manifestation of the disease.
Habitat has a highly significant influence on N residue ( P < 0.001; Figures 2B , 3C, D ).
Mixed effects model analysis showed that there were highly significant differences (p<0.001) between the 21–30 years group (youngest vaccinees) and the 31–40, 41–50, and 51–60 groups, as well as a marginally significant difference (p = 0.092) between the 21–30 and the 61–72 years group ( Table 7 ).
Even though there was a slight overestimation in boys in some age groups and slight underestimation in girls in some groups, correlation analysis showed that there was a highly significant correlation between the chronological age and dental age for both boys ( r 2 = 0.96, P < 0.001) and girls ( r 2 = 0.98, P < 0.001).
Variation of physiological rates across species per treatment were highly significant (P<0.001) for all.
A statistically highly significant difference in Kd (mean of 7.04/0.94/0.00, p < 0.001) between the three categories a–c, respectively, could be found using the Kruskal-Wallis test.
4 F) showed that 15 key genes exhibited highly significant differences between subtype A (Cluster1) and subtype B (Cluster2) ( p < 0.001), namely CHEK1 , BRCA1 , CLSPN , CCNB1 , CCNA2 , TRAP1 , RAN , UCHL1 , LMNB1 , UBE2N , PSMA5 , FLNA , KDM1B , NPM1 , and NUMA1 .
A highly significant correlation was highlighted with the Standard Progressive Matrices Subtest of the Raven test (r = 0.34, p < 0.001), and a value close to significance was found with WISC-V matrices (r = −0.13, p = 0.08).
There was a highly significant interaction between Run Length and Reference bp ( F 5, 8865 = 11.02, P < 0.001; fig. 1 A ).
The GLM revealed a highly significant difference between all treatments (Wald χ2 (5) = 39.87, p < 0.001).
Based on the Analysis of Molecular Variance (AMOVA), highly significant ( p < 0.001) genetic differences were observed between the male and female mastic tree individuals ( Table 3 ).
Following covariation for age alone on the ‘use of strategies to aid memory’ measure, there was a highly significant effect of GROUP ( F [2,444] = 29.0, p < 0.001, corrected p < 0.1), no significant effect of SEX ( F [1,444] = 3.32, p = 0.07), and no GROUP × SEX interaction ( F [2,444] = 0.042, p = 0.96).
Thus, the KCNJ5 mutations were differentially distributed across IHC patterns in a highly significant way (χ 2 = 22.5, P < .001, Table 5 , Fig. 1 ).
The correlation between PG4Ms and GRs remained highly significant (Spearman ρ = 0.541, P < 0.001), suggesting that the co-existence of PG4Ms and genes could be extended outside the TSS-proximal region.
Notably, there was a highly significant difference between the responses of the GS and NGS respondents ( n = 1, 4.3% vs. n = 45, 39.8%, p < 0.001, respectively).
This, however, conceals a highly significant heterogeneity of the effect between centres ( P < 0.001).