“highly significant”

Vials of APSA stored on ice in the fridge for up to 22 months and then sampled at a dilution factor of 1/250,000 (DF 250,000) prior to assay showed extreme sample to sample variation in enzyme activity and a trend to lower OD values over time with a highly significant effect of the storage time on the detection limit (ANOVA p ≤ 2E-16, Regression p < 0.043) ( Fig. 2 A).

The molecular essence of all samples was consistent between measurements on the solariX and scimaX systems, with ANOVA revealing highly significant differences among sample groups ( p < 2 × 10 –16 ).

For males both age and puberty score were highly significant in predicting height at age 11 (r 2 = .17, p<2e −16 ) and 14 (r 2 = .23, p<2e −16 ).

As expected, the PY effect was highly significant (P < 2 × 10 −16 ), and the smoking group W5Y remained significant after correcting for PY (P = 0.008).

Logistic regression analysis showed that the correlation between the proportion of proplatelet-forming cells and RNA and protein levels for TPM4 was highly significant ( P < 2 –16 and < 6.23 –12 , respectively) ( Figure 8A ), demonstrating that the level of TPM4 is rate-limiting for platelet formation.

The linear model is highly significant ( p -value < 2 × 10 − 16 ), and 62% of the ENL variance is explained by the time of development ( R a d j 2 ≈ 0.62 ), while the residuals of the model follows a normal distribution ( p -value 0.3375 in the Shapiro–Wilk test; see Supplementary SI.2 for details).

As for senior authorship, the difference between men and women was highly significant in both the 1999 (166 vs. 47, p = 2e-16), and in the 2009 cohort (188 vs. 115, p = 3e-5), but inspection of the absolute difference reveals that this difference is diminishing.

In contrast, Sunitinib had a strong and highly significant effect on the fusion index of 54.12 cells at all concentrations tested (p<2 × 10 –16 ).

Finally, LASSO analysis was not adjusted for age due to its high correlation with diagnosis (Pearson r = 0.74) and strong potential for solely predicting diagnosis, indicating a highly significant association (logistic regression estimate = 0.225, p < 2e‐16, Akaike information criterion [AIC] = 124,231).

However, the overlap between these two very different approaches is highly significant (Fisher's exact test, p < 2 × 10 −16 ), and the functional enrichments they identify are similar (see below).

All pairwise comparisons were highly significant ( p ‐value < 2e−16), indicating that the distribution of Tajima's D values differs between every pair of populations. 3 Results From the DNA extracted from the six toe pads, we sequenced between 135,310,794 and 208,948,341 Illumina pair reads per sample.

It behaved as a complete outlier, reducing the amount of DLK1 ~ 3-fold when compared to the average of the two negative controls, and this effect was highly significant (p = 2 × 10 -16 ) (Figure 1 B and see Additional file 2 : Table S2).

An analysis using Pearson's correlation coefficient indicates a highly significant linear relationship between bioactivities measured against human and rat targets (r = 0.71, p<2e-16).

The fit of the mortality data using the survival function (with interaction) of the Cox analysis showed that both covariates (temperature and exposure times) were highly significant, as well as their interaction, in determining the mortality level (Concordance = 0.872 (se = 0.015), Likelihood ratio test = 295.9 on 3 df, p ≤ 2e-16, Wald test = 276 on 3 df, p ≤ 2e-16, and Score (logrank) test = 447.6 on 3 df, p ≤ 2e-16).

The difference in this distribution was highly significant ( χ 2 p-value<2e-16).

The smooth terms for longitude and latitude were highly significant, indicating that both geographical coordinates are important predictors of macroplastic concentration ( p < 2e-16, n = 206 for ScriptR results from GAM test, Supplementary Figure S5.2).

Although, the correlation was highly significant ( p < 2e-16), the R2 of only 0.57 shows a low predictive power.

One interesting example is glycan 5402, which had a small positive correlation (PPMCC 0.28) with A1AT’s serum concentration when present at site A1AT site 70 ( P = 0.006) but had a strong highly significant negative correlation (PPMCC -0.81) with the serum concentration of A1AT when present at A1AT site 271 ( P < 2E−16) (Fig. 2 F).

The results revealed that genotypic differences were highly significant (F = 15.97, p < 2e–16), indicating substantial variation among genotypes for the trait under study.

We found the effect of rurality to be highly significant ( P < 2.0 × 10 -16 ), but it explains only 28% of the overall variation in log positional error magnitude.

We note that this overlap was highly significant ( Figure 2b , Fisher test P <2×10 −16 ), suggesting that age and tumor presence elicit common changes in the DNAm pattern of peripheral blood.

The variance analysis showed a highly significant municipality effect ( p < 2 × 10 −16 ), and the multivariable GLM confirmed strong spatial heterogeneity in TIR. 4.

The effective degrees of freedom (edf) for the smoothing term were 8.918, and the corresponding F-statistic and p -value indicated that the smoothing term was highly significant ( p -value < 2e-16).

Similarly, aphid counts and damage scores also showed a highly significant difference ( p -value = 2 × 10 −16 and 3.59 × 10 −14 ) ( Figure 6 C).

Result After controlling for baseline age, sex, education, APOE ε4 dosage, and self‐reported race, IFI44L genotype strongly associated with clinical trajectories in clinically normal (CN) individuals and those with mild cognitive impairment (MCI) in the ADNI cohort, with the rs273259 alternate (G) allele displaying a highly significant, dose‐dependent relationship with worse clinical trajectories (for CDR‐SB, in CN, p < 2 x 10 ‐16 ; in MCI, p = 1.1 x 10 ‐6 ; Figure 1A‐B).