“highly significant”

Participation rose to 76.7% (95% CI: 70.4%–82.0%), a change that was highly significant ( p < 0.001, Cohen's h = 0.85).

The correlation between bleeding and mortality was highly significant (p < 0.001, OR = 5.296), as well as the correlation between bleeding score and in-hospital bleeding (p < 0.001, OR = 1.058), and between bleeding score and in-hospital mortality (adjusted OR = 1.121, p < 0.001, area under the ROC curve 0.753, p < 0.001).

The adequacy of correlations between items was highly significant (Table 2 ; BTS: χ2 = 2875.494, df = 55, p < 0.001).

The treatment factor showed a highly significant impact ( p < 0.001) on final body weight (BW 60 ), weight gain % (WG %), and specific growth rate (SGR), while also significantly affecting feed conversion ratio (FCR) ( p = 0.001).

Spearman’s correlation analysis also revealed a highly significant positive correlation between the patients’ knowledge and attitude scores (r=0.21, p=<0.001).

We focused mainly on the highly significant results ( p ≤ 0.001) not allowing for the overinterpretation of weak signals or false positives.

The absence of any patients over 40 in the non-CIA group, coupled with a highly significant p -value of <0.001, indicates a clear age-related trend.

This reduction was highly significant ( P < 0.001) in both the 60- and 120-min marks.

Hypothesis H2 proposed that "General self-efficacy has a significant positive impact on comprehensive literacy perceived improvement." Path analysis showed that the path coefficient from general self-efficacy to comprehensive literacy perceived improvement was 0.532, with a critical ratio of 7.456, highly significant at the p < 0.001 level.

The results reflect that the increase in SAA: oil ratio at a constant oil concentration brought about a highly significant decrease in droplet size of the NE as obvious for the three oil concentrations tested (p ≤ 0.001).

Both the care self‐efficacy subdimension and the stoma self‐efficacy total score displayed highly significant positive correlations ( r = 0.946 and r = 0.726, respectively; p < 0.001), indicating a robust association.

The standard drug, indomethacin (INDO, 10 mg/kg, i.p.), showed highly significant ( P < 0.001) anti-inflammatory activity in both inflammatory tests ( Table 4 ).

In addition, highly significant correlations were observed between the ‘Ability to perform a TKA t1’ and ‘Use of drill/saw in OR’ (Pearson 0.72; p < 0.001), ‘Experience of VR/immersive games’ (Pearson 0.72; p < 0.001) and ‘Use of orthopaedic simulations’ (Pearson 0.74; p < 0.001).

The presence score exhibited a highly significant arm effect [ F (1,594) = 152.07, p < 0.001, partial η 2 = 0.20], reflecting a large effect size by conventional benchmarks.

Years of work had a highly significant influence ( F = 7.486, p < 0.001), with professionals having 16 or more years of experience demonstrating the highest level of knowledge.

T max effect was highly significant for both outcome categories, with both p < 0.001.

A clear booster effect was seen in MVA-CHIK vaccinated mice, as the differences between post-prime and post-boost samples were highly significant ( p <0.001) ( Fig. 2b ).

Self-reported excessive bleeding was highly significant in rural Nabiganj (13%) compared to urban Dhaka (6%; p < 0.001).

Highly significant positive correlations ( p < 0.001) were evident between several minerals (Figure 2 ).

Staff from governmental universities reported significant lower satisfaction (41.3%) compared to those from private universities (65.1%), with a highly significant difference ( p < 0.001).

The Partitions of Pearson’s Chi-squared test shows highly significant overall differences between need and use (p-value < 0.001) and further significant differences in location in the SES distribution between need and use (p-value < 0.001).

Adjustments for multiplicity were not performed due to the large sample size and the presence of highly significant results (most p -values < 0.001), which may diminish the risk of false-positive findings.

For Bio-PC1, 43 SNPs were identified ( p < 0.01), of which 11 were highly significant ( p < 0.001), and three remained significant after adjustment for multiple testing ( q < 0.05) ( Fig 4A , S3 Table ).

The significance level was defined as follows: p ≥ 0.05 not significant, p < 0.05 significant, p < 0.01 highly significant and p < 0.001 most highly significant.

Salivary and serum hs-CRP levels between the control and MI group were statistically analyzed by Pearson correlation and Student's t -test, and it was statistically highly significant ( P < 0.001; Table 1 ].