“highly significant”

This was tested, with the results presented in Table 4 , where the likelihood ratio, score and Wald tests were all highly significant ( p -value < 0.0001), which means that at least one of the parameters is not equal to zero.

The relationship of vegetation cover to dNDMI is highly significant (p < 0.0001) in both the red-stage and gray-stage sample subset, but the slopes of the relationships are opposite. dNDMI is positively correlated to NDVI 2015 in red-stage models, indicating that lower values of dNDMI (indicating greater mortality from spruce beetle outbreak) are correlated with lower vegetation cover in 2015.

Pooling data from all groups resulted in a highly significant correlation explaining 34% of the variance in the dataset, r 2 = 0.34, p < 0.0001 ( Figure 5 ).

However, it should not pass without notice that many of the incremental reductions in Table 4 are highly significant ( p < .0001) up to about n -5.

At 38 °C a similar pattern emerged; the overall predator effect was highly significant (ANOVA on the binomial generalized linear model, effect of predator treatment: LR χ 2 = 26.30, d.f. = 2, P < 0.0001; Fig. 2a ), but that was only attributable to lycosids, which caused the highest mortality, significantly different from control and pisaurid effect (contrasts: lycosid-control: z = 3.73, P = 0.0005; pisaurid-lycosid: z = −2.75, P = 0.01).

In addition, two highly significant dominance effects were observed, namely for TiHo12 (score χ 2 = 17.614, 1 d.f., p<0.0001) and for TiHo18 (score χ 2 = 7.249, 1 d.f., p = 0.007).

Results Phenotypic variability and estimates of heritability Analysis of variance revealed a highly significant ( P < 0.0001) difference among the genotypes both for individual locations and data combined across locations (Table 1 ).

Kaplan–Meier analysis demonstrated a highly significant survival difference, with high-risk patients showing markedly worse overall survival than those in the low-risk group ( p < 0.0001; Supplementary Figure S4b ).

Tumor growth curves showed improved tumor control for TILT-517 + anti-PD-1 or anti-PD-L1 compared to their ICIs monotherapy alternatives ( Figures 7 C and 7D), and the combination with anti-PD-L1 displayed highly significant differences ( p < 0.0001).

14 C-glyphosate Uptake and Translocation Assays The differences in foliar uptake of 14 C-glyphosate between the resistant hairy beggarticks populations compared to the S population were highly significant ( P < 0.0001; DF = 2; n = 60) ( Figure 3A ).

TRAT1 and KLRK1 were also highly significant ( p < 0.0001), and ROC analysis revealed 83.3% sensitivity and 96.77% specificity for TRAT1 counts >213, and 100% sensitivity and 96.77% specificity for KLRK1 counts >292.5.

When segregating the High Ratio Group (n = 1,934) into the 2% cutoff categories and then comparing TTFT, again a highly significant difference was seen ( Figure 2C ; median TTFT: 2.59 vs. 9.38 years; P < 0.0001).

C 50.3 ng/ml, 95% CI, 2.1–98.6 ng/ml, P = 0.042, Tukey’s HSD test), and highly significant differences in phase III, during surgery and after surgical resection of the main tumour mass (P = 0.0001, n = 28, mean difference M vs.

They observed highly significant association of seven COMT marker haplotypes with schizophrenia (CLUMP T4 P -value = 0.0001).

The difference was statistically highly significant ( P < 0.0001; log‐rank test).

With the comparison between the date-included and date-excluded runs, temperature was the only variable of high importance in all tested models, which kept a high χ 2 value, and highly significant P -value ( P < 0.0001).

The cross correlation between total 25(OH)D and DBP was also highly significant (r 0.84–0.92; all P < 0.0001) but the lag times were less consistent, varying between 0 and 3 h, compared to cross correlation between DBP and total 1,25(OH) 2 D.

Both indicated highly significant genetic structure among populations (microsatellites: F ST = 0.061, p < .0001; mtDNA: F ST = 0.547, p < .001).

These values were all highly significant (p < 0.0001).

The increase in the rates of thyroid admission was highly significant ( p < 0.0001). 3.2.

However, the test for residual heterogeneity remained highly significant (QE(df = 20) = 1017.9061, p < 0.0001), confirming substantial variability among studies.

The association between the derived APS and CCCS was also highly significant ( P < 0.0001) with a Pearson correlation coefficient of 0.3.

CCA indicated highly significant (p < 0.0001) time lags of 12 to 72 hours between i . the cyclic fluctuation of an elevated chlorophyll-a signal in the BBL and ii . signals from both the sea surface (occurrence of low atmospheric pressure, wave height (MWH), cooling of surface waters (SST) and the BBL (temperature, tidal signal (pressure), flow-velocity) during the period of investigation (November – May, Table 1 ).

Highly significant mitonuclear interaction terms were observed in each condition (ANOVA on the random effect model y ij = μ ~ mt i + n j + (mt × n) ij + ε ij , P < 0.0001, Table S 4 ) and could explain 10.8 to 31.5% of the total phenotypic variances (Fig. 1 c, Table S 5 ).

In general, the impact of age on the three cost outcomes was highly significant (p < 0.0001) within all four subgroups.