The entire model had an adjusted R 2 of 0.79; 0.64 of the variance was explained by the first axis, and 0.14 of the variance was explained by the second axis, with both of these values highly significant (p<0.001, 999 permutations).
Excerpts
The difference between the two groups was highly significant (p<0.001).
For both parameters, we could confirm a statistically highly significant correlation between the PLR and CRP/fibrinogen (p-value of <0.001; for PLR>150 and CRP: Pearsońs r = 0.3; Spearmańs rho = 0.2; for PLR>150 and fibrinogen: Pearsońs r = 0.4; Spearmańs rho = 0.3).
New: Figure 2 Kidney function using a) creatinine and b) GFR as surrogates during the follow-up period of 60 months (black HC, grey nESPC) HC = historic cohort, nESPC = new European Senior Program cohort, *** highly significant, p < 0.001 Data are presented as mean ± standard deviation.
Compared with BJT, the JST outpatient services had an increasing trend in inflation-adjusted per-visit healthcare charges (APC = 3.4%, P <0.001) and no DIT in inflation-adjusted per-visit medicine charges or physician workload ( P = 0.40 and P = 0.134, respectively), while the JST inpatient service had a decreasing trend in inflation-adjusted per-visit medicine-charges (APC = -5.2%, P = 0.015) and no DIT in inflation-adjusted per-visit healthcare charges or physician workload ( P = 0.831 and P = 0.295, respectively).
While the upregulation of Daf-21 up_2 is slightly weaker in the first experiment (UpRegScore of 70, 97 and 97, respectively), it is still clearly significant when compared to 100 random gene sets (UpRegScore: 3.7 ± 6.2, p<0.001) ( Fig 3A ).
Comparisons between the different treatment groups were analyzed via one-way ANOVA and the least significant difference (LSD), and differences were considered significant at p < 0.05 * and highly significant at p < 0.001.
There was a highly significant relationship between the average score of clinical competence and the participant’s age, sex, level of education, and years of clinical work experience ( P <0.001).
In contrast, there was a highly significant influence of walking speed and position on all parameters (all p values < 0.001).
We found a highly significant difference in the number of chicks visible between the mid- and late-nestling periods (χ 2 1 = 138.12, p <0.001): on days 6–7, an average proportion of 0.81±0.02 SE of the brood was visible to carers, while only 0.19±0.01 of the brood was visible to carers at day 10–12.
The results show that decorin protein core (henceforth designated decorin) was capable of retarding the growth of the breast carcinoma xenografts ( Figure 1A–D ), which was highly significant at day 23 ( Figure 1B, P <0.001).
We compared the known age of these validation sites with the predictions generated from the GLMs of the mean stem diameter: this revealed a highly significant correlation between actual and predicted time since fire (r = 0.71, P < 0.001), thus confirming the utility of this method for ageing stands of mallee eucalypt vegetation.
Bartlett’s test of sphericity was highly significant (χ2(741) = 19,644.17, p < .001), further confirming the appropriateness of the analysis.
For both song and ml noise, the difference in eBW between NRC and GLM STRFs was highly significant ( p<10 −3 , two-sample KS test).
Settings for both observers revealed a highly significant main effect of the adapt condition on the image appearance (S1 F(2,45)=29.5, p<.001; S2 F(2,45)=58.3, p<.001).
All differences in change were highly significant (p<0.001) except ‘growth’ (p = 0.7).
However, mice immunised with both rPA and alum and transfused with the DC vaccine had 100% survival and a highly significant reduction in bacterial load within 2 days of challenge, compared to the negative controls (p<0.001) and to the rPA and alum group (p<0.05).
Sampling adequacy was confirmed through a Kaiser-Meyer-Olkin measure of 0.939 and a highly significant Bartlett’s test of sphericity (p < 0.001).
The canonical correlations of the Discriminant Function Analysis were highly significant ( P < 0.001) and 94.8% of the cells were correctly reclassified in the resulting clusters.
Overall, the proportion of males dead was four times higher than that of females (males: 370/3104; 11.9%; females, 110/3708, 3.0%), a highly significant difference between the sexes in mortality (chi-square = 206.8, 1 d.f., P <0.001).
Eight variables showed a highly significant (p<0.001) association with at least four ANC visits in the chi-square analysis.
Post-hoc pairwise comparisons (with Tukey correction for multiple comparisons) revealed a highly significant difference in accuracy between monolinguals and bilinguals on the illusion condition (p < 0.001), and no significant difference between the groups on the filler condition (p = 0.96; Table 2b in the S1 File ).
Heterogeneity assessment and meta-analysis Highly significant heterogeneity was detected when all eligible studies were pooled (chi-squared = 35.73, I 2 = 72.0%, p<0.001).
An ANOVA test revealed highly significant variation (P≤0.001) among genotypes ( Table 2 ).
The difference between the two groups was found to be highly significant (p<0.001) as shown in Fig 4 [A] and Fig 4 [D].