“highly significant”

The path coefficient from Mg intake to HbA1c was large ( ρ = −0.127) and highly significant ( P < .0001), indicating that the relationship of Mg intake and HbA1c is a robust and true observation, not by chance.

This distribution turned out to be statistically highly significant (p<0.0001) and has many points in common with survival curves defining the Gompertz law, which describes the lifetime long pattern of acceleration and deceleration of mortality [ 50 , 51 ].

This observation is corroborated statistically by two-sided sign tests, revealing that the difference between agreement in case of voluntary and enforced implementation is highly significant for contact-tracing apps, vaccination, and contact limitations ( P < 0.0001) but insignificant for travel restrictions ( P = 0.622) and masks ( P = 0.389).

The combination between SCF and LRG1 showed highly significant difference in CRC patients compared with benign, healthy subjects, and among CRC groups (treated and non-treated) ( p < 0.0001).

The linear regression analysis demonstrated that the slope of HFD was highly significant ( p < 0.0001) but not in HFDT ( p = 0.2397) compared with zero.

Concerning our pain measurement using the VAS, we could detect a highly significant difference ( p < 0.0001) comparing two years vs. preoperative and six months vs. preoperative results, which are illustrated in Figure 2 .

Nevertheless, we detected strong highly significant correlations between manual scoring and automated quantification for our classifier ( R 2 = 0.98, p < 0.0001, n = 60) as well as CADABRA ( R 2 = 0.87, p < 0.0001, n = 59) (Fig. 1d ) showing that correlation analysis is not sufficient to evaluate assay performance.

The Procrustes ANOVA established a highly significant morphological variation between skeletal patterns and gender groups ( p < 0.0001) ( Table 5 ).

This effect became highly significant ( p < 0.0001) after exclusion of noninformative studies increasing the RR; however, this analysis was based on two studies, one of them including the so far largest published cohort of screened individuals with GA1 1 (Fig. 4 ).

Statistical analysis of DNA damage percentages across the three wavelengths revealed highly significant effects of both time (F(4,24) = 89.45, p < 0.0001) and wavelength (F(2,6) = 85.73, p < 0.0001), with a significant time × wavelength interaction (F(8,24) = 42.18, p < 0.0001).

When the mean PSS scores among different demographics were compared between phase I and phase II period, all the demographics showed highly significant results ( P < 0.0001) and the higher value of mean PSS was reported in phase II period [ Table 2 ].

Together with the highly significant differences (Two‐tailed paired t ‐test P < 0.0001; n = 65) in the average (±SD) counts of unique gene clusters obtained from complete versus complete plus partial gene catalogues ( Supplementary Data 1 ) suggests a strong effect of partial gene sequences on gene diversity, and in turn, gene discovery.

The analysis outlined a three‐factor model of the preliminary 17‐item instrument with notably insufficient fit to the data by a highly significant Satorra–Bentler scaled chi‐square (S‐Bχ2 = 351.40; df = 116 p < .0001) and CFI markedly lower than 0.95 (CFI = 0.798), an excessively high value of SRMR = 0.112, and RMSEA = 0.092 (90% CI = 0.081–0.10).

Although only a few taxa spanned such a wide range, every parasite had highly significant among‐population differences in prevalence (binomial GLMs, all P < 0.0001).

The log‐rank tests were highly significant ( P <0.0001), and the graphs illustrate a trend for higher mortality and higher probability of the composite renal end point by increasing cfPWV quartile.

Nevertheless, the reduction of phagosomal PtdIns4P was highly significant ( p < 0.0001; Figure 6F ), implying that PI4K2A is at least partly responsible for the reformation of PtdIns4P in late phagosomes.

This reduction in restriction proved highly significant in the other two groups, were we observed a 2.24 and 2.49 fold increase in the AHI-156 and CHI group compared to CG respectively (both p < 0.0001) ( Fig. 3 C).

In this model, the effect of time post alloHSCT on hemoglobin levels was highly significant ( p < 0.0001, R 2 = 0.259).

Data analyses for soil C, N, and K showed a highly significant interaction between year and soil type (C: P < 0.0001; N: P < 0.0001; K: P = 0.0009).

We found a highly significant increase in EPI (8.7-fold, p < 0.0001), NE (7.5-fold, p < 0.0001) and DA (4.0-fold, p < 0.0001) in tissues of 4–5-month-old MENX mutant rats (HYP) vs. age-matched WT rats ( Figure 1 A).

The Friedman test was highly significant (p < 0.0001, Friedman chi 2 = 116.97, df = 3, Kendall’s W = 0.6045).

Overall, the immunoglobulins evaluated increase after the first immunization and were maintained over time, showing highly significant differences when compared with the controls PBS+CFA and PBS+alum ( p < 0.0001).

4 ), and all comparisons of plasma IGF-1 between matched treatment groups of adults versus juveniles were highly significant at P < 0.0001.

There were highly significant increases in Movement Range X ( p < 10 − 4 ) and Movement Range Y ( p = 0.0007 ).

A one-way analysis of variance (ANOVA) showed a highly significant between-groups difference [ F (11,132) = 9.76; p = 0.0001].