The Kaiser–Meyer–Olkin measure of sampling adequacy was 0.944, which is above the recommended value of 0.60, and the Bartlett’s test of sphericity was found to be highly significant ( p < 0.001).
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However, there are highly significant differences in the infection rate between SINs (df = 16, P< 0.001, Fig 2 ), and the overall infection rate is correlated with the frequencies of the two mitotypes (df = 1, P = 0.039, Fig 3 ).
The difference in the slopes between BASE and either SR or RCV is highly significant ( p < 0.001; see Table 2 in S1 File for confidence intervals and p-values).
The enrichment of a functional groups can be driven either by the differential expression of many genes with p-values between 0.05 and 0.01; or by a small number of highly significant genes (p<0.001).
The overall model fit is also satisfactory, as reflected by a highly significant model F-test ( F = 51.24, p < 0.001).
The assessment of the severity of NOMI using the Homburg-NOMI-Score has shown a highly significant (p<0.001) correlation to the event of death during the postoperative period [ 19 ].
A two-way ANOVA showed highly significant differences ( p < 0.001) in enzyme activities for the factors, cultivar, years, and the interaction between cultivar and year.
Although the median age of cHL patients in the EBV+ group did not differ much from that of the EBV- cHL patient group (31 years, range: 4–74 ys and 27 years, range: 8–74 ys respectively) ( Table 1 ), the 10 years age group distribution between EBV+ and EBV- patients did show a highly significant difference (p<0.001).
fulleborni : χ 2 = 0.085, df = 2, P = 0.958), for the strongylid nematode it was clearly significant (χ 2 = 14.448, df = 2, P = 0.001; Table 6 ).
LMM analysis of trapping success data against time (days), allowing for positive autocorrelation between successive trapping sessions, suggested a highly significant increasing trend across May to December (LMM, P <0.001; parameter estimate = 0.00130±0.00035 catch rate day −1 ).
Caffeine intake of 200–≤400 mg/day was associated with 58% risk reduction (OR = 0.42, 95%CI = [0.25–0.69], p<0.001), and that of 400 mg–≤600 mg/day was associated with a highly significant 80% reduction (OR = 0.20, 95%CI = [0.08–0.51], p<0.001), and >600 mg/day had also strong 79% reduction (OR = 0.21, 95%CI = [0.09–0.52], p<0.001) comparing to the lowest caffeine intake group with 0–≤200 mg/day.
The effect of glycerol supplementation was highly significant (p < .001).
A test of the first set of predictions using a 2 x 2 repeated measures ANOVA with condition (easy-fight, easy-flee) and hand (fight hand, flee hand) as within-subject factors revealed a highly significant interaction effect, F (1, 29) = 13.10, p = .001, η 2 p = .31, in line with the goal-directed account (see Fig 4 ).
A two-tailed Student’s t-test indicated that the difference in total CFU was highly significant ( P <0.001).
For all 4 models, the intercept and all 6 effect sizes are highly significant with p<0.001.
Furthermore the reduction of the absolute kidney weights, as well as the kidney volumes of homozygous Pou3f3 L423P mutant mice of both sexes was highly significant (p<0.001).
The comparison of the 1976 P2004 and 2003 P2004 samples revealed highly significant differences in flowering time (F 1,1806 = 19.6, P<0.001), plant height (F 1,1806 = 23.3, P<0.001) and spike length (F 1,1806 = 9.4, P≤0.002) between samples.
The difference in excess observed similarity between the groups is highly significant (p<0.001, rank test), which suggests that amino acid identity is a poor measure for estimating physicochemical similarity, and thus T cell cross-reactivity.
The differences between the four frequencies were highly significant ( Χ 2 = 139.68, df = 3, p < 0.001), and so was the pairwise difference between the recommendations made for the Democratic and Republican parties ( z = 5.05, p < 0.001).
This analysis revealed an overall highly significant effect of Measurement ( F (1, 45) = 26.04; p < 0.001).
Further, Fu's Fs test detected highly significant departures from the neutral/equilibrium expectations (p<0.001).
Diversity for flowering time Flowering time differences were highly significant (P ≤ 0.001) among the 125 genotypes ( Table 1 and S7 Table ).
Our GLM analyses of LR of individual males and females and numbers of local recruits they produced showed that number of fledglings produced by both sexes was a highly significant predictor of the number of both F1 (males, P < 0.001, df = 193; females, P < 0.001, df = 248, Fig 13A and 13C ) and F2 recruits (males, P < 0.001, df = 19; females P < 0.001, df = 248, Fig 13B and 13D ).
However, school fees were not included as bivariate analysis consistently showed a highly significant relationship between school fees and the subgroup of children labelled with dyslexia (p<0.001 in every sweep); yet the numbers of cohort members in the school fees cells were very small ( Table 2 ).
We saw similar, and highly significant differences for the published high-grade, late stage, serous tumors (HR = 1.3, 95%CI [1.1,1.6], logrank p-value<0.001) and the entire published ovarian dataset (HR = 1.4; 95%CI [1.2,1.6], logrank p-value<0.001).