This difference was considered extremely significant (U = 3; U′ = 172, p value < 0.0001). 3.3.
Excerpts
Fitting the Mathematical Models Highly significant second-order polynomial models ( p < 0.0001) with an insignificant lack-of-fit were satisfactorily fitted to predict the independent variables based on the multiple linear regression analysis of the experimental data ( Table 2 ).
A first study including 229 PCOS patients and 150 controls reported a highly significant association of Gln223Arg SNP in the LEPR gene with the development of PCOS ( p < 0.0001) [ 129 ].
Bartlett's test of sphericity was highly significant ( P < 0.0001), indicating good model acceptability.
For all assays, the effect of sa-mRNA dose (1.0 vs 0.01 μg) was highly significant (p < 0.0001, 2-way ANOVA).
Consequently, the AHRU group showed higher scores in all three scoring systems, with a highly significant difference (all p < 0.0001) in comparison to the non-AHRU group (CHAMPS: 2.5 (2, 4) vs. 1 (0, 2); NOBLADS: 4 (3, 5) vs. 3 (2, 4); ABC: 3.5 (2, 7) vs. 2 (1, 4)), suggesting that AHRU was potentially associated with worse clinical outcomes.
The results demonstrated that the model is highly significant ( P < 0.0001, F = 273.5) with a non-significant lack-of-fit ( P = 0.6251), confirming the adequacy and excellent fit of the model.
Of those, 11 were highly significant ( p < 10 −4 ) with log2-fold-changes between 1 and 19.
The group difference in the ADDT LIs is highly significant [ t (25) = 11.01, P < 0.0001].
S3 and S5 gave highly significant increase in solubility with p < 0.0001 with no significant difference between them ( p = 0.6891, > 0.05), which means this method was more efficient in the complex formation.
The mean anesthesia time was significantly shorter in the WALANT group, averaging 3.6 ± 0.5 minutes (95% CI 3.44-3.76), compared with 8.4 ± 2.0 minutes in the LRA group (95% CI 7.61-9.19), demonstrating a highly significant difference ( P < .0001).
No significant differences in the prognostic value are noted between iPET-2 and i-PET-4 with both showing highly significant differences in EFS between the CMR and nCMR patients ( P -value < 0.0001): patients with iPET-2-CMR and iPET-2-nCMR had 3-y-EFS’s of 93.1% and 45.5%, respectively while the respective values for patients with iPET-4-CMR and iPET-4-nCMR were 89.5 and 39.4%.
Focusing on MCC of the skin ( N = 19,020), the overall proportion of MCC among skin cancers showed an increasing trend over the years ( P < .0001).
The odds of death in the AKI group compared to those without AKI was 3.7, which was highly significant (p < 0.0001), (95% C.I. odds 1.94-7.30).
There was a significant trend towards a decrease in average ED LOS 282 (standard error of mean [SEM] ± 19) vs 185 (± 13) minutes ( p = 0.0001).
The mean age at death for animals unaffected was 614 days (SEM ± 20) compared to 741 days (SEM ± 18) for animals with pathology; a difference which is highly significant ( p < 0.0001, two-tailed unpaired t test).
According to data published by the Companion Animal Parasite Council website ( www.capcvet.org ), the percentage of Ohio dogs tested positive for exposure to the Lyme disease spirochete by the SNAP 4Dx Plus Test was 0.39% (218 of 54,963) for 2011, 0.55% (250 of 45,376) for 2012, 0.56% for 2013 (543 of 96,016), and 0.62% (102 of 16,343) for 2014 as of April 23, 2014, showing a significant trend of increase ( P < 0.0001, Chi-square test for trend).
Results We find a highly significant positive correlation between Pfirrmann grades and the gene expression of MMP1 (r=0.67, p=0.0001), MMP3 (r=0.61, p=0.0002), MMP10 (r=0.6701, p=0.0001), MMP13 (r=0.48, p=0.004), ADAMTS1 (r=0.67, p=0.0001), and ADAMTS5 (r=0.53, p=0.0017).
Highly significant differences in PH among environments were also detected at all measuring stages in the combined analysis over all 10 three-factor combination environments ( P <0.0001) ( Supplementary Table S3 ), indicating that the ontogeny of PH was influenced by environment.
The ANOVA results for the set (i) showed highly significant and statistically greater Ks in the set of 26 mitogenomes: Ks = 1.618 ± 0.019, Ka = 0.384 ± 0.019 ( n = 325), F = 1949.2, d.f. = 1; 648, p < 0.0001 (effective hypothesis decomposition).
Applying the chi-square test using the percentile set (0.25, 0.5, 0.75) in Table 7 results in a highly significant difference between the percentile profiles (p < 0.0001).
Thermal Detection Thresholds ANCOVA with age as a covariate (partialing out the highly significant age-related effects) revealed a highly significant effect of group (F 2,113 = 30.04, p<<0.0001), body side (ipsilateral vs. contralateral: F 1,113 = 12.39, p<0.001) and group x side interaction (F 2,113 = 4.65, p<0.05) for the cold detection threshold (CDT).
Statistical analyses revealed that this elevation was small (14.5 μg/g) but highly significant ( p -value < 0.0001).
This result was highly significant ( p < 0.0001 using Fisher’s exact test), indicating that stability of the chemicals was a considerable contributor to our ability to determine their CCS value.
Striking features of this record includes a decreasing trend of −0.0015 ± 0.0002 pH year −1 from AD 1838–2001 (R 2 = 0.63, p < 0.0001) and inter-decadal variations with amplitudes of 0.1–0.2 units ( Fig. 2b ).