Despite being highly significant, this relationship was very weak with an r of only 0.1 (PC1, r = 0.1, p<0.001, Fig. 4B ).
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The association between overall mortality and increasing age remained highly significant when adjusted for underlying co-morbidities or immunosuppression (p = 0.001).
The difference in HADS anxiety scores also remained highly significant after age adjustment (β = –7.84, p < 0.001), whereas the group difference in HADS depression scores was no longer significant (β = –2.09, p = 0.052).
These associations remained highly significant ( P < 0.001 for all) through sequential multivariate adjustment: first for other blood parameters (Model 1), then additionally for demographics (Model 2), comorbidities (Model 3), and finally angiographic severity (Model 4).
The difference was highly significant ( χ 2 = 135.661, d.f. = 1, P <0.001).
Nevertheless, the association with CHD remained highly significant ( p <.001).
All differences were highly significant (p≤0.001) or significant for DUM R7 vs.
That Linear Model was highly significant (F 10,213 = 5.98, p<0.001, R 2 = 0.18).
When comparing individual quintiles, a positive trend with mortality was found (multivariable-adjusted test for trend: p<0.001, S1 Fig and Table C in S1 File ).
Finally, DNA-PROT vaccine induced significant parasitological protection in spleen (Mann-Whitney U ; P = 0.030) and highly significant parasitological protection in blood (Mann-Whitney U ; P < 0.001).
Pooled data from three independent experiments revealed highly significant inhibition (p<0.001) as measured by slope, max-min and AUC analysis ( Figure 4C-E ).
Within the CCA the overall RDA model of assemblage structure versus sample year was highly significant ( R 2 = 0.23, p<0.001) as were pairwise comparisons between individual years (2002 vs 2003 R 2 = 0.22, 2003 vs. 2004 R 2 = 0.12; p<0.001 for both).
Despite the effect of sex on PPVT scores in the group of first affected siblings, an analysis of the subgroup of 214 sib pairs comprised of only males demonstrated that the effect of autism birth order on PPVT scores is still highly significant (t(213) = 3.370, p = .001).
Pooled analysis across all cancers demonstrated highly significant evidence of differences overall showing longer diagnostic intervals with increasing age (7.8 days; 6.4 to 9.1; P<0.001); for females (8.9 days; 5.5 to 12.2; P<0.001); and in non-NICE symptoms (27.7 days; 23.9 to 31.5; P<0.001).
The variance in allele sizes ( Vp ) is relatively variable among population groups, especially so for the Frequency dataset ( Figure 2A ), and the differences for this last dataset are indeed highly significant (Kruskal-Wallis test, P<0.001 ).
To compare between all conditions we performed a Friedman’s ANOVA test, which was highly significant ( F r (5) = 46.21, p <0.001), indicating that our image treatments were influencing perception of scale.
Results and discussion Effect of process parameters on MRR The ANOVA results and standard regression coefficient for MRR are presented in Tables 5 and 6 respectively at a 95% confidence level and the results showing that the regression model for MRR is highly significant (F = 67.84, p < 0.001).
almost reached significancep = 0.057
The effect of MDMA on positive mood was highly significant (p<.001) in the GLM model including pindolol, and almost reached significance (p = 0.057) in the GLM model including ketanserin.
There was a highly significant correlation between pressure and secretory response (p < 0.001, Pearson r = 0.99).
Furthermore, while the main effect of condition was highly significant (F = 26, p<0.001), a significant interaction between age group and condition (F = 5.3, p = 0.024) suggests that the anchoring effect was susceptible to developmental changes.
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.
A significant trend of increase in adjusted odds ratios was observed among patients with both hypothyroidism and overt hypothyroidism ( P < 0.001 for trend).
The analysis of variance (ANOVA) revealed highly significant (p<0.001) differences among the genotypes for the nutrient and anti-nutrient composition except for percentage fat content ( Table 4 ).
Furthermore, there was a significant trend in the increasing age of childbearing women from 28.08 years in 2001 to 30.64 years in 2010 ( p <0.001).
Analyses of variance revealed a highly significant CS by preceding reminder type interaction ( F (2, 54) = 7.63, p = .001, η p 2 = .22); see Fig 4 .