“highly significant”

In this respect, the highly significant correlation between the final absolute refractive errors and the VC/CR ratio ( r 2 = 0.87, P < 0.0001) demonstrates that the treatment-related, between-subject differences in refractive error were due to the effects of the lens-rearing procedures and the 7-MX treatments on vitreous chamber elongation.

The p -values associated with the functional enrichment of genes were calculated (see Methods ) and the result was highly significant for the “Regulatory” function ( p -value < 10 −4 ) and particularly for the “Zinc-containing proteins” subfunction (see Additional file 4 : Data Sets 1).

The analysis of all SIV-infected animals revealed a highly significant inverse correlation between the viral RNA load in plasma and the CD4+ T-cells in blood ( P < 0.0001; r = -0.786), BAL ( P < 0.0001; r = -0.814), duodenum ( P = 0.008; r = -0.497) and colon ( P < 0.0001; r = -0.685) as well as for the proportion of CD4+CCR5+ T-cells in blood ( P = 0.0003; r = - 0.647), BAL ( P < 0.0001; r = - 0.817), duodenum ( P < 0.0001; r = - 0.742) and colon ( P = 0.0003; r = - 0.674).

There were no significant differences within the states with the exception of HDL cholesterol where differences were highly significant at p = 0.0001, Table 2 .

Both groups appeared to show a highly significant ( P < 0.0001) improvement in demeanor and exercise tolerance at day 35, yet the difference between groups was not significant.

Analysis of the two tracking sets showed that compared to sporozoites gliding independently of CD31-labeled vessels, the average apparent speed of gliding sporozoites decreases once they approach a blood vessel from 1.38 μm/s to 1.06 μm/s, and this difference is highly significant (p value < 0.0001) ( Figure 2B ).

The difference in methylation was highly significant (p < 0.0001).

A highly significant effect for the dose variable was found (F(5, 38) = 122.5, p < 0.0001), indicating that different doses resulted in significantly different blood glucose concentrations.

In our study there was a highly significant difference in METS of sedentary and non-sedentary individuals ( P < 0.0001).

A test of association between pathogenic MBD4 variants and presence of tumor was highly significant (Fisher's exact test p -value <0.0001).

conventional FA concentrations in 2 tables, about 2 findings of P = 0.05 and 0.5 finding of P = 0.01 can be expected there by chance alone, but our key findings are highly significant ( P <0.0001) and not vulnerable to Type-I errors (incorrectly rejecting the null hypothesis).

The tests of zero amplitude were highly significant ( p < 0.0001) for every HRV variable, clearly suggesting a significant circadian variation.

The model was highly significant ( F = 11.979, df = 2102; p < 0.0001) and is shown in Table 2 .

The difference is highly significant, chi-square test (asymptotic significance, two sided), P <0.0001 ( Table 4 ).

Despite age, sex, and procedural differences there was remarkable consistency in that in all 29 subjects, PAPP‐A levels in the conditioned medium of epicardial preadipocytes greatly exceeded those of subcutaneous preadipocytes, resulting in a highly significant 15‐fold difference by paired t ‐test ( P < 0.0001).

Controlling for CPI and exchange rate, the mean difference between stage 1 and stage 2 is 14 503 ( = β ˆ 3 − β ˆ 4 ) , which is highly significant ( p < 0.0001), indicating a drastic drop of Hong Kong tourists after the attack of SARS.

Highly significant (adjusted p value <0.0001) descriptors that were associated with this set of genes were terms related to several pathways, namely PDGF and FGF signaling.

A highly significant difference ( p < 0.0001), however, was observed between males and females in the PIVUS cohort.

Network events resulted in a highly significant positive shift in [Cl − ] i ( P < 0.0001, t -test, n = 75 network events from 16 neurons) and an acidic shift in pH i ( P < 0.0001, t -test, Figures 4A,B ).

Both LPO substrates mediated A/California/04/2009 viral inactivation beyond detection limit of the assay in the cell-free system which was highly significant (p<0.0001, for each substrate) ( Fig 3A ).

This regression model was also highly significant and explained 42% of the variance in placebo variability (adjusted R 2 = .426; F 5/91 = 15.22; p < 0.0001).

The second-order polynomial regression model was applied to determine the relationship between the independent variables and the response variable: Y = − 66.25 + 31.74 X 1 + 20.51 X 2 + 29.15 X 3 + 49.40 X 4 − 6.03 X 1 2 − 1.94 X 2 2 − 11.76 X 3 2 − 12.18 X 4 2 The ANOVA results for the model ( Table 6 ) indicated that this model was highly significant ( P < 0.0001).

Highly significant relationships were identified for both parameters ( P <.0001).

The analysis of variance confirms that the model is highly significant as is evident from Fisher’s F -test (104.99) and a very low P -value < 0.0001.

GDP was a highly significant linear predictor of a diagnosis of PCP (p<0.0001).