P value of <0.05 was considered to be statistically significant difference, P value of <0.01 was considered to be highly significant difference and P value of <0.001 was considered to be extremely significant difference.
Excerpts
The KS test for comparison of variance showed that the difference in the bacterial ratio variances between pu.1 and LWT is highly significant ( P < 0.001).
Significant statistical differences were found with regard to smoking index ( P <0.03), and highly significant differences were observed in sUA, oxygen saturation, PO 2 , percent predicted forced vital capacity (FVC%), FEV 1 % and PEFR% ( P <0.001).
All other parameters examined showed a highly significant difference ( p < 0.001).
Accordingly, the difference between wildtype and mutant rTRPV1 was highly significant (unpaired t -test, p < 0.001).
Coefficients for the PWB and FWB were highly significant (p < 0.001) compared to the EWB (p < 0.05) (Table 4 A, OLS Model 2).
Using dichotomous (breast-fed or not) outcomes, we found highly significant associations between how they had been fed and future intentions for Scottish (χ 2 (1) =52.3, p < .001); Nordic (χ 2 (1) = 24.6, p < .001); and USA (χ 2 (1) = 19.4, p < .001) participants.
Statistical significance was set at a p -value of less 0.05, highly significant as p < 0.001, and dramatically significant as p < 0.0005. 4.
Linkage between sampling, data collection, and analysis methods Pearson’s chi-squared tests revealed highly significant associations between sampling strategies and data collection methods (χ 2 = 540.49, df = 220, p < 0.001), sampling strategies and data analysis methods (χ 2 = 198.87, df = 66, p < 0.001), as well as between data collection and data analysis methods (χ 2 = 386.26, df = 120, p < 0.001), indicating strong interdependencies among these methodological choices.
The differences between the Raphia samples and the non- Raphia samples were highly significant (p<0.001).
A moderately significant negative correlation was found between the total VUCA score and the BRS mean score ( r = -0.412, p < 0.001) [ 56 ] (Table 2 ).
In Penno et al.’s study, subjects with eGDR < 4.14 had a hypertension prevalence of 99.5%, subjects with eGDR value between 4.15 and 5.34 also had a hypertension prevalence of 98.7%, and subjects with eGDR ≥ 5.34 had a hypertension prevalence of 52.8% [ 11 ]; In their work, they also used euglycemic hyperinsulinemic clamp test to exam the correlation between eGDR and the level of measured glucose disposal rate, the results demonstrated that the correlation of eGDR with measured glucose disposal rate was highly significant (r = 0.624, P < 0.001).
The difference was found to be statistically highly significant ( p < 0.001).
From Table 1 , the Wald test was highly significant ( P <.001), rejecting the null hypothesis of no explanatory power.
There were highly significant intra-observer correlations of both diaphragms in the all patients ( r = 0.93, p < 0.001 for right diaphragm; r = 0.92, p < 0.001 for left diaphragm).
The difference in mean number of methylated genes in the cancer group (8.41 (95% CI 7.62–9.20)) vs the total control group (4.74 (95% CI 4.40–5.08)) was highly significant ( p < 0.001).
Differences were considered significant when p < 0.05 and highly significant when p < 0.001.
With the exception of residence, the remaining parameters exhibited highly significant differences ( p < 0.001) with the mean knowledge scores estimated ( Table 5 ).
Interestingly, the addition of 9 μg/mL CsA resulted in a complete and highly significant rescue effect (120%; p < 0.001 with respect to hypoxic treatment).
An ANOVA comparing the impact of these parameters with biological variation in both species revealed that although all effects are highly significant (Table S1, P < 0.001), the sensitivity parameters explain only a minor component of the total variation in oROM in both species (Table S1, effect size: sums of squares; Fig. 8 ).
Differences between the post-treatment and waitlist groups on PTSD symptom scales were highly significant ( p < 0.001), with moderate to large effect sizes on changes in both the frequency and severity of symptoms.
Trait-specific responses of okra genotypes under three PEG 6000 levels The effects of genotypes, treatments, and their interaction were highly significant (p< 0.001) for all the estimated growth, root, and biochemical parameters ( Tables 1 , 2 ).
Structure–function correlation When comparing correlations between fiber counts and functional connectivity strength between groups, we found that both groups exhibited moderate, yet highly significant (all subjects p < 0.001), levels of structural–functional connectivity correlations (TD: r = 0.32 +/− 0.03, ASD: r = 0.32 +/− 0.04, p = 0.77 for the group difference).
There was a clear trend of increasing incidence of VI with CKD severity, with rates of 3.3% in stage G1–G2, 13.5% in G3a, and 16.3% G3b–G5 ( P < 0.001) (Figure S1 in Online Supplementary Document ).
Difference between two framework fabrication methods were highly significant ( P <.001); Gap of working model showed significantly smaller gap compare to impression in MG, CG, and AOTG.