Excerpts

Further, the mean GCF resistin levels, before as well as after treatment across groups showed highly significant difference with P < 0.0001.

Species was also highly significant ( P < 0.0001; Table 1 ), with fir having an earlier phenology than spruce, with a mean difference of about 6 d between species.

HDL-C Patients that died had a highly significant lower serum HDL-C on day 1 of ICU admission (p < 0.0001, meta-analysis t-distribution) with a pooled mean difference of −7.06 mg/dL (95% CI −9.21 to −4.91 mg/dL) across 17 studies with 1542 participants 17 , 20 , 22 , 31 , 32 , 34 , 36 , 37 , 40 , 41 , 43 , 45 , 46 , 47 , 48 , 50 , 51 ( Fig. 3 ).

The correlation between vascularization and the Breslow thickness was highly significant ( p <0.0001).

However, when all plasma melatonin concentrations ( n = 141) on Day 3 were correlated with GA, the Spearman correlation coefficient of 0.53 was found to be highly significant ( p < 0.0001, Figure 2 ).

Chi-squared tests demonstrated that all differences between the observed overlap, and the overlap expected by chance were highly significant ( P < 0.0001).

ST398 was primarily found in both respiratory infection and SSTI, but the proportion of ST59-caused SSTI showed a trend of gradual decrease ( p < .0001) ( Figure 3 (b)).

Oral cavity and salivary gland cancer showed a positive trend in the treatment rates (oral cavity: RR: 1.1, CI: 1.06–1.11, p < 0.0001; salivary glands: RR 1.1, CI: 1.03–1.10, p = 0.0005).

One-way ANOVA showed highly significant difference across the mean ( p < 0.0001) (Tables 1 and 2).

The results show that the differences between strains, oils and antibiotics were very highly significant p < 0.0001 ( Table 3 ).

The level of significance ( p -value) for each test is indicated in the figures using the following notation: ns ( p > 0.05)—non-significant, * (0.01 < p ≤ 0.05)—significant, ** (0.001 < p ≤ 0.01)—very significant, *** (0.0001 < p ≤ 0.001)—highly significant, and **** ( p ≤ 0.0001)—extremely significant. 5.

The association between obese and CRC in overlapping DMRs was highly significant as suggested by Chi square test (p < 0.0001).

Univariate F test analysis showed that differences between the two groups, at each half-cycle, were all highly significant (p < 0.0001 for the first 5 half-cycles; p < 0.01 for the last half-cycle).

For all nine samples, highly significant SCF determinations were obtained ( p < 0.0001).

Subsequent analysis of the saliva showed a highly significant linear correlation ( p < 10 −4 ) between the total eukaryotic cell content and the integral of the region, 1.24 to 1.30 ppm, as a surrogate measure of U ( Figure 6A ).

The overall model was highly significant (F = 84.53, p < 0.0001), and the lack-of-fit test was not significant ( p = 0.4872), indicating good model adequacy.

Whereas all the other groups showed a decreasing trend in comparison to the diabetic group with adjusted ( p < 0.0001****).

A chi-square test confirmed that these regional differences were highly significant ( p < 0.0001).

Due to the large number of data sets in each population, both correlations were highly significant (p<0.0001), though data points are not fully independent.

The Q -statistic remained highly significant, with a p -value < 0.0001, indicating substantial heterogeneity.

A significant increase of several amino acids including phenylalanine (Phe, p < 0.01), tryptophan (Trp, p < 0.001), and tyrosine (Tyr, p < 0.0001), as well as isoleucine (Ile, p < 0.05), glutamate (Glu, p < 0.05), glutamine (Gln, p < 0.05), and glycine (Gly, p < 0.05) was observed, whereas a highly significant ( p < 0.0001) decrease in cysteine (Cys) was measured.

All the correlations presented here are highly significant ( p < 0.0001) except when stated.

To see if whole tumour GREM1 expression correlated with this classification we used The Cancer Genome Atlas RNA-Seq data to match sporadic tumour samples to the published CCS1, CCS2 and CCS3 subtypes and found a highly significant correlation between high GREM1 expression and CCS3 subtype tumours ( P < 0.0001, ANOVA) ( Fig. 5d ).

In total, 24 SNPs suggestive of significance ( p ≤ 10 −4 ) were identified for Alentejana cattle and 20 SNPs were identified for Mertolenga cattle.

As shown in Figure 4 , the diagnostic power of C6Ma1 and C6Ma3 was highly significant with an AUROC of 0.90 ( P < .0001) and of 0.87 ( P < .0001), respectively when comparing healthy control to patients with cancer.