“highly significant”

In addition, the log 2 fold-change values calculated from microarray and qPCR data showed a highly significant correlation (R 2 = 0.8653; p < 0.0001), showing excellent overall confirmation of the microarray results by qPCR ( Supplemental Figure S3 ). qPCR results for 14 transcripts involved in the innate immune response are shown in Figure 6 .

Change in UCVA in logarithm of the minimal angle of resolution from preoperative value to every follow-up postoperatively was highly significant ( P < 0.0001) in both the groups [ Figure 2 ].

The difference between syntenic and non-syntenic genes was highly significant ( P < 0.0001, Wilcoxon rank-sum test) for all species separately.

Then, the non-parametric Kruskal-Wallis test compared ccf-mtDNA levels in the three groups, resulting in a highly significant statistical difference (p-value < 0.0001).

For both tau and NfL there were highly significant differences across diagnostic groups including HCs (Kruskal-Wallis, p=0.0001).

By 3-way ANOVA, time, environment, and age were highly significant ( P < 0.0001) for the recovery of performance on the inclined plane.

Each of these differences in the functional composition of the sets of paralogs and unduplicated genes were statistically highly significant (p < 0.0001, χ 2 test).

The difference between the groups is highly significant (non‐parametric one‐way ANOVA, p < 0.0001).

The changes in ExitLOS and HistLOS are highly significant (P < 0.0001) but in opposite directions.

The number of CNVR operations (sterilisation and vaccination) per month was found to be a highly significant predictor of the number of rabies cases per month (negative binomial GLM: β = −0.0004401, p < 0.0001; Figure 7 ).

qPCR validation of a set of selected targets showed a highly significant correlation with the relative expression levels determined by RNA sequencing (Pearson R = 0.8955; P < 0.0001; Supplementary Figure S9 A).

2 , highly significant correlations ( P < 0.0001 for all markers) were observed for ER (tumor R = 0.76), Ki‐67 (tumor R = 0.41), CD4 (tumor R = 0.34, stroma R = 0.52), and CD8 (tumor R = 0.48, stroma R = 0.56).

Highly significant difference ( P < 0.0001) was found between the cognitive functions of the schizophrenia group and healthy control.

There was a highly significant association for all species ( p < 0.0001) between the evaluation by CaV and SYBR/PI used as reference dye.

The correlation between MMP-8 and sTREM-1 by the Spearman rank test was highly significant ( r = 0.8640, p < 0.0001; Figure 4 C).

The analysis of variance of the response surface quadratic regression model showed that the model was highly significant ( p < 0.0001) with a high F-value of 32.31.

There were highly significant effects of dose and subject for AUC after 5–20 g glucose (dose, p < 0.0001; subjects, p = 0.0001) and 5–20 g WB (dose, p < 0.0001; subjects, p < 0.0001).

Chi-square was highly significant ( X 2 = 18,948.52, df = 253, p < 0.0001), indicating divergence of what was observed from the predicted model.

Statistical analysis of mortalities against alphacypermethrin between the sprayed group (A) and the no spray group (C) was highly significant (chi sq. = 15.36, p < 0.0001) and with the DDT sprayed group (B) (chi.

Image analysis results and statistical analysis BLM induced marked thickening of the interalveolar septa and ginsenoside attenuate this effect The thickness of the interalveolar septa of BLM treated group showed highly significant increase when matched with that of control group ( P <0.0001); and highly significant decrease when matched with that of BLM and ginsenoside treated group ( P <0.0001) ( Fig. 7A ).

For seven of these apicomplexan infections, the reduction was highly significant ( p < 0.0001), where between ~ 30 and ~ 70% of recovered reads were derived from the host using the earlier method versus between ~ 1 and ~ 20% for UPDx (Fig. 2 a).

The least square (LS) mean differences compared with placebo in SPID6 values for the 62.5, 125, 250-mg, and combined DFN-15 groups were −756.6, −1120.7, −1355.1, and −1076.9, respectively, which were statistically highly significant for all comparisons ( P < 0.0001, ANCOVA model).

The coefficients for the two main explanatory variables (GDP per capita and occupancy rate) are highly significant (p < 0.0001), as well as most of the control dummies, e.g., hospital level.

For MALAT1, the mean expression for SAH patients without CVS was 1.25 with 0.40 SD, whereas that for SAH patients with CVS was 2.76 with 0.77 SD, and the statistical difference between the groups was highly significant (p < 0.0001) ( Figure 1 ).

Fitting a generalized linear model with negative binomial errors to the data on number of thalli per individual from infected nests (fitted dispersion parameter θ = 4.39) showed a highly significant difference between nests in the level of infection (Wald χ 2 = 245.05, df = 1, p < 0.0001), and also a strong effect of estimated worker age (Wald χ 2 = 70.3, df = 4, p < 0.0001), with older workers having a higher load of thalli (Fig. 7 ), but no association with the presence or absence of P. alcon caterpillars (Wald χ 2 = 0.719, df = 1, p = 0.396).