Excerpts

The analysis utilized nominally significant SNPs ( p < 0.001) for the four brain regions showing FDR-significant results (right lateral ventricle, right caudate, right pallidum, and right accumbens).

Our results for increased diagnostic certainty of RA were highly significant (31.1% versus 61.2%, P <0.001).

The following variables that showed a highly significant statistical difference ( P <0.001) in the univariate analyses were entered a stepwise backward logistic regression model: age; Euroscore; preoperative plasma creatinine level; ScO2 minox ; type of surgery; duration of surgery; duration of cardiopulmonary bypass (CPB); lowest hematocrit during CPB; intra- and postoperative use of inotropic/vasoactive agents (noradrenaline, dobutamine, vasopressine); cumulative use of blood products; mean RPP within the first 8 hours after ICU admission, time to first extubation (hours), and reintubation.

This decrease was highly significant (p < 0.001) with an effect size of 68%.

All of the above results showed a significant trend with P < 0.001 (Supplementary Tables 5 – 7 ).

Results revealed highly significant differences across cultural groups for all three variables ( p < 0.001), confirming that cultural background not only influences students' sports participation behaviors but also meaningfully shapes their perceptions of basketball culture and their psychological adjustment processes.

We used traditional levels of statistical significance throughout: 0.01 ≤ p -value < 0.05 indicated marginal significance, 0.001 ≤ p = value < 0.01 indicated significance, and p -value < 0.001 indicated high significance.

Table 2 revealed highly significant differences in all 11 traits analyzed through ANOVA at the p < 0.001 level, with h 2 exceeding 0.7.

The t-test revealed a highly significant difference (t = 14.90, p < 0.001) with a very large effect size (Cohen’s d = 4.71), indicating a considerable performance gap.

The difference in density is highly significant between the keV levels of 70 vs. 40 and 45 ( p < 0.001 for both) at any measured location.

There was a statistically highly significant increase of podoplanin expression and also the mean of LVD in MF patients in comparison to normal control skin ( P < 0.001, <0.001 respectively) [ Table 2 ].

Starting in the third quarter of 2020, the consumption rates of ciprofloxacin showed a positive trend, with total consumption increasing by 1.200 DID, outpatient consumption increasing by 1.102 DID, and hospital consumption increasing by 0.105 DID (all p values < 0.001).

Lastly, the beta diversity was not dependent on sampling time point (PERMANOVA p=0.86), while CSTs were highly significant (PERMANOVA R 2 = 0.80, p<0.001, Supplementary file 1 , section 1.4.2).

The model was significant ( F = 68.752, P < 0.001), with a highly significant correlation between laboratory and POC data ( F = 153.748, P < 0.001).

When comparing serum CTx between baseline and day 8, all patients experienced a decrease in CTx levels, and this was highly significant (p < 0.001) as shown in Figure 3B .

This association is highly significant (Fisher exact test, P < 0.001) and indicative that water and spotted skinks likely share a common MSY, which originated >79 Ma (divergence time between the two groups of skinks; data retrieved from TimeTree; http://www.timetree.org /, last accessed May 25, 2020).

coli genes (Supplementary Table 4 ), a highly significant dependence of functionality on phylogenetic distance for cell-interacting proteins (Mann–Whitney U -test, P < 0.001), but no change for drug-interacting resistance mediators (Mann–Whitney U -test, P = 0.57), was observed.

Repeated measures of one-way ANOVA revealed a highly significant difference ( p < 0.001) among these distinct zones.

Although two studies reported non-statistically significant results for the primary endpoints [ 37 , 38 ], the pronounced effect observed by Demain and Goetz [ 39 ] ( p = 0.0002) strongly influenced Fisher’s combined analysis, resulting in a highly significant global p -value ( p < 0.001).

In contrast, the >60 years group showed a trend toward higher risk (unadjusted HR = 1.032, 95% CI 1.012–1.053, P = 0.001), which lost statistical significance after adjustment (adjusted HR = 1.015, 95% CI 0.994–1.037, P = 0.151).

When considering factor loadings and associated statistics for the best two-factor and three-factor models with sleep removed, all factor loadings were highly significant with t-value between 9.6 and 25.9 (minimum critical t value of 3.29 for P = 0.001) ( Table 4 ).

This trend is further supported by the highly significant Spearman rank correlation coefficients between test results and parasite burden and fibrosis score shown in Table 3 (p < 0.001 for all coefficients).

The log-rank also reported a highly significant association between survival and ferritin values with P < 0.001.

The Chi-squared statistic for Friedman’s test of the ‘overall change over time’ in our parameters of interest, VAS, NPS, SNOT-22 and IgE, and whatever group analysed, is highly significant ( p < 0.001 in most cases).

The difference in tumour volume before and after NAC is highly significant, with p < 0.001 (Fig. 3 ).