“highly significant”

Oxygen saturation is almost identical for T1 & T2; yet the difference is highly significant statistically (p<0.001).

The statistical significance of these findings was assessed through P values, with aphthous ulcers demonstrating a highly significant prevalence ( P < 0.001) compared to other diseases.

The main effect of pulse rate was highly significant ( F (2,20) = 99.3, P < 0.001) and that of duration was marginally significant ( F (1,10) = 4.76, P = 0.054).

A highly significant loss of luminal marker expression ( p < 0.001) was observed in the course of progression whereas an increase of basal marker expression ( p < 0.01) was noted in the invasive compartment.

Similar findings were reported by Elgebaly and Elzayat, who found a highly significant difference in blood loss between the group receiving TXA and the group with no intervention (n = 100, p<001) [ 11 ].

The effect was highly significant (p<0.001) for both the doses.

Compared to sham mice, the levels of serum creatinine were significantly increased at all three time points in IR-injured WT and KO mice and the differences in the means of serum creatinine were highly significant among all different groups of WT mice ( p < 0.001), KO mice ( p < 0.001), or all groups from both WT and KO ( p < 0.001), as indicated by one-way analysis of variance (ANOVA).

The AI severity and itching scores were highly significant predictors of POEM score ( P <.001), while the presence of triggers ( P =.14), medication records ( P =.18), age ( P =.29), and gender ( P =.95) were weak predictors of POEM score, as expected.

The difference was highly significant ( P = 0.001).

Greater consideration in our discussion was placed on highly significant terms (p < 0.001) due to the tendency of GAMMs to overfit, and p values > 0.001 should be treated as ambiguous as recommended in [ 45 ] and [ 55 ].

There was a highly significant association between nationality and self-esteem (χ 2 = 13.507, p < 0.001).

Spared nerve injury allodynia and sex differences An ANOVA performed on % allodynia data unexpectedly revealed a highly significant interaction between condition and sex (F 2,123 = 23.0, P < 0.001).

The configuration obtained between NMDSs based on 10000 permutations was highly significant ( t0 = 0 . 521 , m 2 = 0 . 728 scale factor = 0 . 521 , p-value = 0 . 001 ).

Also, there was a highly significant positive correlation between SP leptin and SP resistin (r=0.568, p= 0.001).

We found a highly significant correlation between LRP6 protein and mRNA levels in TNBC (Figure 1J , correlation coefficient=0.75, P <0.001).

8b ) showing mean fluorescence intensities from tumours treated with F9 to be highly significant compared to animals treated with F3 ( p < 0.001) which confirms high tumour accumulation of F9.

There was a highly significant statistical difference in IgE levels between patients suffering from AFS and CRSwNP (p <.001), with AFS cases showing higher IgE levels (mean (SD) IgE level in IU/ml: 820.2 (752.8) vs. 242.1 381.3)).

After adjustment for body size and comorbid conditions, the difference in SCr and eGFR between cases and controls remained highly significant (p < 0.001).

Individual selection biases are shown in Figure 3B and are in all cases highly significant ( z -test, p < 0.001).

There were highly significant differences between most irrigation trials at (p < 0.001) as indicated by the LSD values.

Statistical analysis of the number of students showing changes in LS scores with those showing no changes revealed a highly significant difference for all the four LS categories ( P < 0.001).

Owing to the large size of the data set, all proportions were found to be surrounded by very tight 95% CIs, and differences between proportions were all highly significant (p<0.001), even when the proportions were very similar.

The Pearson correlation coefficient between the dependent variables was all highly significant ( p < 0.001) and was between sleep disturbances and fatigue 0.632, between fatigue and anxiety/depression 0.449, and between sleep disturbances and anxiety/depression 0.308.

Three asterisk indicate a value which is highly significant (p<0.001).

Response amplitude The repeated measures ANOVA indicated highly significant effects of the factors session ( p < 0.001), visual stimulation condition ( p < 0.001), and visual area ( p < 0.001) on response amplitude and a significant interaction only for visual stimulation condition × visual area ( p = 0.019).