“highly significant”

A univariate logistic regression model for predicting the diagnosis of pneumonia was highly significant for PCT (χ 2 106.8, P < 0.0001, AUC 0.723).

Supplementary data bmjopen-2023-077508supp001.pdf Regression model The logistic regression model was statistically highly significant (p<0.0001).

All group differences were highly significant (p<0.0001).

The difference in the proportion of inhibitory and excitatory PPD cells between the L4 and L2 segments was highly significant (Fisher's exact probability test, p < 0.0001).

To ensure that the relationship between mean transcript abundance and transcript CV was not driving this correlation we repeated the analysis as a partial correlation while controlling for mean transcript abundance, this still showed a highly significant negative relationship between the heritability of transcript abundance and the transcript CV (P<0.0001, R2 = 0.42).

The model is highly significant (F-statistic p -value < 0.0001), and the RMSE values suggest reasonable predictive accuracy.

Among the individual parameters, biomass (A), sonication amplitude (B), and sonication time (C) all exhibit highly significant effects on protein extraction yield ( p < 0.0001).

When an analysis was conducted for subject preference for JUP versus PER only, this difference in favor of JUP was highly significant ( z = 4.76, P < 0.0001; Figure 3 ).

Additionally, the MANOVAs were highly significant for both sexes (females: F 2,11 = 61.4, p < 0.0001; males: F 2,13 = 67.4, p < 0.0001).

The difference between application of sLFS during exploration of one novel cue and sLFS alone ( n = 14) was highly significant (ANOVA, F 1,71 = 34.45; P < 0.0001; n = 8).

All pairwise comparisons show that differences between these size distributions are highly significant (P<0.0001, 2-tailed T-tests with unequal variances).

The distribution of the correlation values was skewed towards positive values with a median of 0.17 and a most probable value of 0.4, results that show a highly significant deviation from randomness (Wilcoxon test, p < 0.0001).

The percentages of GFP + cells (R2 in GFP-FL2 dot plots) induced by these hits were not as high as those with PMA treatment, but still highly significant ( P < 0.0001) compared with the untreated cells.

In contrast, highly significant effects of exposure duration were observed for all four molecules, and ethanol × exposure duration interactive effects were detected for mTOR and RPS6 ( p < 0.0001) ( Table 6 ).

If we had used model 5 rather than model 1, 19.3% of those who develop CVD would be appropriately assessed for their cardiovascular risk while only 11.4% of those who do not develop CVD would be falsely assessed for their cardiovascular risk, the difference of which is highly significant (P<0.0001).

Comparison of gene expression levels obtained from RNA-seq and qRT-PCR showed a highly significant Pearson correlation coefficient (r) (M1: r = 0.9509, P < 0.0001; M2: r = 0.9242, P = 0.0004; Fig. 3d ).

Although there is considerable individual variation between prediction and soil data, the fit is highly significant [ p < 0.0001, as discussed in the Supplemental Material ( http://www.ehponline.org/docs/2006/8659/suppl.pdf )].

For both genotypes, delta power in both baseline and recovery from SD could be reliably predicted on the basis of sleep-wake history (Figure 1 ), which is underscored by the highly significant correlations between empirical and simulated data (r = 0.91 and 0.87 for cry1,2 +/+ and cry1,2 -/- , respectively, P < 0.0001 for both genotypes).

Substance and alcohol abuse and supplement use Association with MD and alcohol use measured by RAPI was highly significant (Table 5 ) (p < 0.0001).

The increases over time were highly significant for the seronegative and intermediate baseline groups (p<0.0001, p = 0.0026, respectively) but not for the initially high baseline group (p = 0.23).

A moderate, albeit highly significant, correlation ( r = 0.40, p < 0.0001) between the lick ratio and lick cluster size was found in rats self-administering i.v. nicotine with these sensory cues.

Overall allelic results There were large and highly significant differences in overall allelic distributions between PM and controls for the HLA-DRB1 and DQA1 loci (Table 2 ; p = 0.0001).

Comparing methods, the improvement in correlation to logarithm concentration of ln C obs ( t ) and ln C Model ( t ) was highly significant ( p < 0.0001) for Tk-GV functions compared to the E1 functions using paired samples t -testing of the z -values from z = atanh( r ).

The percentage of children from urban area had more bleeding than that of rural area and it was highly significant ( P < 0.0001), and the percentage of children from rural area had more calculus than that of urban area and it was highly significant ( P < 0.0001) [ Table 2 ].

The main effect of DAT GENOTYPE was highly significant (F [2] , [81] = 14.9, p<0.0001).