“highly significant”

In this study, statistical significance was categorized as follows: (i) Highly significant ( P < 0.001): Indicated with ‘***’; (ii) Very significant ( P < 0.01): Indicated with ‘**’; (iii) Significant ( P ≤ 0.05): Indicated with ‘*’; (iv) Not significant ( P > 0.05): Denoted as ‘n.s.’.

The results of the Chi square showed that the Wald statistics are highly significant ( χ 2 ( 9 , 378 ) = 33.83 ; p < 0.001 ) , even though the pseudo r 2 = 0.0903.

However, there was a highly significant reduction in the MCP-1 released into the medium by stimulated dysferlin-deficient cells ( P < 0.001) (Fig. 7 ).

Kyphosis reduction at time of discharge was highly significant in both, the subgroup with single-staged (mean difference 8.8°, p<.001) and the subgroup with 2-staged temporary bisegmental surgery (mean difference 10.6°, p<.001; Fig. 4 B).

The differences in the mean duration of analgesia were highly significant ( P < 0.001) between BD0 and BD1 and between BD0 and BD2 groups.

All the differences were statistically significant (Wilcoxon signed-rank test z = −4.376; −4.379; −4.234; −4.200; −4.375; respectively, all P < 0.001 highly significant).

Results of both were statistically evaluated by two-tailed Student’s t-test and considered significant ( P < 0.05), highly significant ( P < 0.01), or extremely significant ( P < 0.001).

The ANOVA results indicated a highly significant effect of mangrove stand type on AGB ( p < 0.001).

This difference in the weight of the patients after receiving the suspected psychotropic treatment was found to be highly significant ( P < 0.001) [ Table 3 ].

The main effect of the grouping factor was statistically significant ( F = 5.667, p < 0.05), and the main effect of the time factor was highly significant ( F = 67.998, p < 0.001).

First, hypothesis-driven statistical filtering retained only variables demonstrating highly significant intergroup differences ( p < 0.001) between DLC and NDLC cohorts, thereby substantially reducing the risk of Type I error.

The results also agreed with previous findings [58] , [59] that the incubation temperature has highly significant effects on the viral polymerase activity (F = 271; P<0.001).

In the CALLY analysis, the low-CALLY group had a markedly shorter median survival (20.1 months, 95% CI: 20.1–56.7) compared with the high-CALLY group (89.0 months, 95% CI: 89.0–111.3), with a highly significant difference (log-rank p < 0.001).

In all models, age, sex and meal location were highly significant predictors (all p < 0.001).

Analyzed individually, 59.8% of obesity and metabolic process genes had significant and 31.3% highly significant (p < 0.001) effects on starvation tolerance.

Results: The analysis of maternal factors revealed a highly significant association between maternal thyroid dysfunction and TSH concentrations in newborns (p < 0.001, OR = 11.365).

The model also exhibited a strong overall fit, with a pseudo-R2 of 0.6745 and a highly significant likelihood ratio χ2 (χ2=638.39, df=2, p<0.001), explaining a substantial proportion of the variation in VLS among CALHIV.

The results revealed a highly significant effect of HHV on PBA (Fig. 1 A; P < 0.001, Greenhouse–Geisser test) and four distinct PBA groupings (color-coded in Fig. 1 A): [HHV1, HHV2], [HHV3, HHV4, HHV5], [HHV6A], [HHV6B, HHV7, HHV8].

A highly significant difference in the prevalence of hyperlipidemia was noted, especially in patients with acute MI (p < 0.001).

Regarding the main interaction effect at T3 (see Table 3 ), the GAD-7 measure was highly significant ( t = −4.52, p < .001) across all imputations (see OSM 4).

Independent sample t -test demonstrated highly significant difference between the two groups (p < 0.001).

SIV ANOVA 2x2x2x6 showed highly significant results for the interaction between Groups, Gender and SIV (F = 2.25; df = 5/350; p < 0.001) and the interaction: Gender x Time x SIV (F = 2.77; df = 10/700; p < 0.01).

The loci HA3 and HA13 showed highly significant P values (P < 0.001) after Bonferroni correction, therefore all further analyses were conducted without locus HA3, due to linkage disequilibrium ( Table 3 ). 3.2 Genetic diversity The related parameters of genetic diversity were calculated and summarized in Table 4 , Table 5 .

As far as length of stay is concerned, patients were divided into three groups, depending on whether the length of stay lasted 7 days or less (144 patients; group A), between 8 and 14 days (412 patients; group B) or more than 14 days (221 patients; group C); a highly significant difference in the probability of readmission was found ( p < 0.001; Fig. 2 b).

We found that the effect of Subblock was highly significant for participants with higher [t(15.97) = 5.474, p < 0.001, R 2 = 0.652] and lower [t(15.11) = 7.988, p < 0.001, R 2 = 0.809] BMI.