“highly significant”

Our results indicated that the majority of never-tested MSM did not use condoms in the last sex act (56.9%), doubled the percentage of those who had tested in the past 12 months (29.7%) and those who tested more than 12 months ago (21.6%); the difference between three groups were highly significant (χ 2 = 25.10, p < 0.001).

There was a highly significant, inverse correlation of V A with NT-proBNP (r = -0.21; p < 0.001) and cardiothoracic ratio (r = -0.39; p < 0.001), and a weaker borderline significant correlation with LVEF (r = +0.11; p = 0.054).

A MANOVA on all parameters captured from the catwalk, reported a highly significant difference between genotypes ( λ Wilks = .082, F (18,36) = 5.00, p < .001, no gender effect and no genotype x gender interaction).

The difference between the distance distributions for the all the combinations of comparisons between the non-glycosylated, glycosylated 5-glycans ­ ­ and glycosylated 295 was highly significant (p < 0.001; Wilcoxon rank sum test; Figure 3C ).

983T > C SNP, the difference in the alanine aminotransferase mean values were highly significant between TT and TC genotypes ( P < 0.001).

Post hoc analyses confirmed that in the younger children group a highly significant increase for solving intermediate moves could be observed after one year in girls (t(11) = –6.17, p <.001), but not for boys (t(9) = –.61, p = .555).

This observation was highly significant in a paired student's t-test (p = 0.001), when compared to assays with the parental samples (without ASPP2 siRNA pretreatment).

This analysis revealed a highly significant effect of Adaptation Condition, F (2, 106) = 31.78, p < 0.001, η p 2 = 0.38.

A temporal line curve, illustrated in Figure 2 , indicates a highly significant increasing relationship between time and SEP for both (pooled) South African and Mozambican households ( p < 0.001).

There was a highly significant association between age and stereo class on both tests (p<0.001, χ 2 -squared test).

A 2×2 ANOVA with the within-subjects factor test (NET, CM) and the between-subjects factor group (patients, controls) showed that the group effect was highly significant, F (1,18) = 15.149, p = .001, η 2 = .457, whereas the results were independent from the factor test , F (1,18) = 0.038, p = .847, or the interaction of test and group , F (1,18) = 1.081, p = .312.

Neutrality tests The overall F ST for whole data set was 0.008 (95% CI: 0.003 - 0.016) and was highly significant (P < 0.001).

Using ANOVA by treating dyskinesia scores as factors, dyskinesia scores were found to be highly significant for SL ( p < 0.001) and SA ( p < 0.001).

We found highly significant differences ( p <0.001) in severity of pancreatitis, Ranson score, and mortality between the AKI and non-AKI groups: in the AKI group there were 8 mild and 44 severe panceatitis cases, the average Ranson score was 4.98±1.59, and mortality was 36.5%, whereas in the non- AKI group there were 190 mild and 63 severe panceatitis cases, the average Ranson score was 2.75±1.58, and mortality was 5.8%.

Finally, the strong and highly significant results of the Mantel test within the C4 genetic cluster ( r = 0.785, P = 0.001) demonstrate the pattern of IBD also exists at a smaller scale for N. obscura ( Table 3 ).

According to the logistic regression, ratio of BUC/ALN was highly significant for different factors including week-SI (odds ratio:−6.535, CI 0.000–0.016, P < 0.001), and medium SI (odds ratio: 9.135, CI 170.182–505386.699, P < 0.001).

Dialysis Efficiency Kt/V was 1.35 ± 0.27, 1.68 ± 0.31, and 1.69 ± 0.28 in citrate HD, standard OL-HDF, and citrate OL-HDF, respectively, with highly significant ( P < 0.001) differences among HD and OL-HDF treatments.

Random effects for mosquito diet and study level were highly significant for both Ae. aegypti and Ae. albopictus models (Chi square, p < 0.001).

There was no significant effect when the target was a no-onset item, F < 1, but a highly significant effect when the target was an onset, F (4, 84) = 16.18, p < 0.001: RTs increased on average by 103 ms from one onset to six onsets.

Results from ANOVAs comparing target mRNA levels by genotype were highly significant for each transcript ( P < 0.001).

Below 1000 m in the mixed coniferous and broad-leaved forest elevation zone, the first model using vegetation parameters as independent variables indicated that carabid activity abundance was negatively associated with TH (β = −1.67, P = 0.002) ( Table 2 , Model 6, AIC = 5.37, adjusted R 2 = 0.62, F 2,8 = 17.37, P = 0.002), while the second model also included a positive relationship with SD (β = 0.012, P = 0.012), with a highly significant overall model fit ( Table 2 , Model 7, AIC = −1.79, adjusted R 2 = 0.82, F 2,8 = 23.07, P <0.001).

0.91 – 0.99 for 12SrDNA, 0.92 – 1.00 for DL, 0.96 – 1.00 for COII, 0.80 – 1.00 for ITS2, and 0.95 – 0.99 for mtDNA) and were all highly significant with p values < 0.001 and < 0.01 confirming, once more, that the six lineages are genetically very distinct form each other.

Mantel tests of pair-wise geographic distances and genetic distances, measured as F ST or as percentage of allele differences among populations, detected highly significant correlations (0.59 < r < 0.82; P < 0.001; Figure 1 B) accounting for up to 67% of the variance.

Each axis, PC1 and PC2, explained 38.4% and 25.4% of the total variation and both axis returned highly significant P values ( P < 0.001).

Based on the median test, a highly significant statistical difference was observed on the level of χ 2 = 177151, *** P < 0.001 between individual scopes of activities not considered in the original TISS-28 scale.