“highly significant”

In a later analysis of a smaller ( n = 356) subsection of the cohort with more complete data (18% missing LA Z-scores), the hazard ratio was lower, 1.03, and not statistically significant (whereas in contrast maximal wall thickness Z-scores hazard ratio 1.07 remained highly significant, p = 0.002).

At DC discharge, 21.7% of non-shunt patients had an mRS ≤ 3 compared to none (0%) in the shunt cohort, showing a highly significant difference ( p = 0.002).

There was a highly significant correlation between pathway abundance and species distance matrices ( r = 0.299, P = 0.002; Table 1 ) from the metagenomic data. 16S rRNA genera versus metagenomic species and 16S rRNA versus metabolites had the second and third highest correlation values ( r = 0.117, P = 0.067; r = 0.103, P = 0.039), respectively.

There is a weak positive intra-co-relation between ORA and IR, which is highly significant (ρ = 0.175; p = 0.002).

The size difference between DWI and MTT lesions was highly significant ( p = 0.002), confirming an inverse mismatch between hypoperfusion and infarct.

RM-ANOVA for heart rate demonstrated a highly significant main effect of group ( F = 6.674, P = 0.002), but no significant main effect of time ( P = 0.695) or group-by-time interaction ( P = 0.883).

Within this full model in Table 6 , staff position remained a significant demographic predictor ( β = −0.063, p = 0.044), while all four internal domains were found to be highly significant: IIH ( β = 0.110, p = 0.002), ICH ( β = 0.320, p < 0.001), RH ( β = 0.376, p < 0.001), and PP ( β = 0.202, p < 0.001).

RDA returned a highly significant association between oocyst output and OTU profile (pseudo-F = 3.7, p = 0.002).

The final difference was highly significant, with a 46% response rate for the former versus 22% for the latter (p =0.002).

Furthermore, the radiomics feature original_glcm_Idmn remained statistically significant regarding PFS in both groups ( P < .013) and showed a highly significant association with OS in the methylated group (13.1 vs. 32.8 months, P = .002).

These three independent variables (solid-liquid ratio, extraction times, number of extractions) had a highly significant impact on the extraction rate (F-value = 24.93, F-value = 15.28, F-value = 254.46; p = 0.002, p = 0.006, p = 0.001).

Statistical analysis revealed a highly significant difference in AUC between the Multi-score model and the other three models (P<0.002).

In cases of CME without SRF, there was a highly significant negative correlation between the duration and CC flow (in the 6 × 6 scans, r = −0.844, p = 0.002).

All groups showed highly significant differences: high (Δ t > −2.2°C) vs. moderate cooling (Δ t 2.2–1.5°C) ( p = 0.002); moderate vs. low cooling (Δ t < −1.5°C) ( p = 0.0006) (Figure 6 ).

Results Genotypic variation in cumulative transpiration and transpiration efficiency Among the 79 genotypes tested in the DroughtSpotter XXL trial, analysis of variance (ANOVA) revealed highly significant genotype effects on cumulative transpiration ( p = 0.002) and TE ( p = < 0.001), ranging between 62.11 and 89.86 kg and 2.12–3.00 g kg − 1 , respectively (Table 1 ).

Mentalizing categories The effect of mentalizing category was highly significant, F (2, 350) = 6.54, p = 0.002.

This revealed a highly significant interaction only for the happy faces, F (1, Inf) = 9.71, p = 0.002, not for the other expressions, both F (1, Inf) < 0.72, p > 0.400.

MMSE and USSLB do not correlate well ( r = −0.19, p = 0.34) and remain highly significant (both p = 0.002) in a combined regression model for betaine.

In the “response to stress” genes, the enrichment of contacts is also highly significant (number of genes = 561, ratio = 1.43 and p-value = 2×10 −3 ).

The difference between these two groups was statistically highly significant ( p = 0.002, in Mann–Whitney U test).

The difference in R 1 between this longer illness group ( n = 9) and HCs ( n = 30) was highly significant (F 1,37 = 11.20, p = 0.002).

We showed that a highly significant and specific correlation ( P < 0.002) existed between the frequency (or number) of WA-to-WG mutations and the number of mRNA hairpins that could potentially form at such WA mutation sites.

The association was highly significant (χ2 = 12.458 (df = 2), p = 0.002).

The observed differences were highly significant (p < 0.002) and clearly demonstrated that in the presence of dnTASP1 normal Taspase1 activity is diminished.

In this comparison, age remained highly significant ( P =0.002, GLM), but smoking (as PY or by category) or case status did not show any effect ( Table 2 ).