“highly significant”

As tested by in vitro germination and acetocarmine tests, the analysis of variance clearly showed that storage method, days of storage, and the interaction between storage methods and days of storage had a highly significant effect ( p ≤ 0.0001) on pollen viability.

Most of the questions of patient satisfaction were statistically highly significant ( p <0.0001).

Similarly, Kaplan–Meier survival analysis followed by log-rank (Mantel–Cox) testing revealed highly significant differences in lifespan among treatment groups fed on SG (χ2 = 67.88, df = 4, p < 0.0001).

A highly significant correlation (r = 0.475, p <0.0001) was also found between the Ct values of the concordant positive saliva and NPS specimens.

For human genes, highly significant differences were found between G1 and G2 (F = 1.29; p <0.0001), G1 and G3 (F = 1.33; p <0.0001), or G1 and G4 exons (F = 1.33; p <0.0001), while none was found between G2 and G3 (F = 1.04; p = 0.4254), G2 and G4 (F = 1.03; p = 0.4285), or G3 and G4 exons (F = 1.00; p = 0.9243).

Gene set enrichment analysis identified a highly significant overlap of transcriptional markers of intestinal stem cells (chi‐squared test with Yates's correction, P < 0.0001; Munoz et al , 2012 ) between the gene lists, demonstrating elevated expression of some members of the intestinal stem cell signature following Huwe1 deletion.

Clinical Pharmacology disease management patient‐generated online data Pharmacometrics Psychopharmacology For major depression, the same relationship was even more pronounced, with an average loss of 0.4 rating points out of 10 per decade since the FDA approval (corresponding to a Pearson's R of between −0.56), highly significant for all drugs with at least five reviews ( P ≤ 0.0001), at least 10 reviews ( P ≤ 0.0001), or at least 20 reviews ( P = 0.0002) (Table 2 ).

The overall effect of the model was highly significant ( p < 0.0001), indicating that NH 4 + , K + , NO 3 − , BAP, and NAA significantly affected growth.

Results were highly significant between clusters A and B ( p < 0.0001), A and C ( p = 0.0078), and C and B (p < 0.0001).

This difference was highly significant for the screen detected cancers (P <0.0001).

The two-way interaction of the condition and the surface was also highly significant ( p -value < 0.0001), indicating that polishing increased the microhardness values at the top and the bottom surface.

The difference was highly significant ( p = 0.0001).

For the BRR model using the whole marker dataset, for example, plant height and plant width GEBVs demonstrated highly significant correlation coefficient ( r = 0.77; P < 0.0001) (Fig. 1 ).

During the initial 6 months of the study, the cyclosporine A group had consistently lower IOP than the betamethasone group, which was statistically highly significant ( P < 0.0001).

The spatial autocorrelation was highly significant (p-values: Obsoletus group model: p<0.0001, Pulicaris group model: p<0.0001), and was estimated to be 0.41 (+/-0.09) for the Obsoletus group model and 0.235 (+/-0.09) for the Pulicaris group model for traps placed with 50 m distance.

The test for trend across the time points showed that this increase was highly significant (p < 0.0001).

Between group comparisons revealed a highly significant difference in antibody concentrations for male rats compared to female rats at weeks 8 ( p < 0.0001) and 10 ( p < 0.01).

Two-way ANOVA revealed a highly significant main effect of diabetic status on muscle volume (F(1,34) = 119.04, p < 0.0001), with diabetes accounting for 74.08% of the total variance.

Our results showed a tight and highly significant correlation between the log-normalized SNH/SMH ratios by qPCR and FPKM (fragments per kilobase of transcript per million reads mapped) (Pearson’s r = 0.91, P < 0.0001; Figure 3 D).

1 e) and found a highly significant correlation (Spearman's r = 0.57 [95% confidence interval (CI): 0.54–0.60], p < 0.0001).

Viral DNA load of NS1 correlated significantly with VP1/2-DNA load (p = 0.0148; Pearson r = 0.1228; r 2 = 0.01509) and furthermore correlation of NS1- to VP1/2-RNA loads was highly significant (p ≤ 0.0001; Pearson r = 0.8817; r 2 = 0.7775).

The contrasting behaviour of these two bacterial groups was supported by a highly significant negative relationship ( r 2 = 0.52; P < 0.0001), when data from all treatments were pooled.

A highly significant difference ( P = 0.0001) was noticed on all 4 days.

For FiO 2 , the increase at onset was highly significant (estimate = +0.33, 95% CI: 0.20–0.46, p < 0.0001), and the decrease post-intervention did not remain statistically significant (estimate = −0.19, 95% CI: −0.45–0.07, p = 0.10).

Decoding of uncued orientations was highly significant on both Switch (1–1.4 s after cue onset, corrected p = 0.0001) and Repeat trials (1.05–1.4 s, p = 0.0028, Switch > Repeat 1.25–1.4 s, p = 0.0295; Fig. 5 A , left panel inset).