“highly significant”

60 EBCTCG meta-analysis found highly significant reductions in recurrence (rate ratio [RR] 0.86; 95% CI 0.78–0.94; P = 0.002), distant recurrence (RR 0.82; 95% CI 0.74–0.92; P = 0.0003), bone recurrence (RR 0.72; 95% CI 0.60–0·86; P = 0.0002), and breast cancer mortality (RR 0.82; 95% CI 0.73–0.93; P = 0.002) in postmenopausal women while in prem

The mean AgNOR count of OLD (2.388 ± 0.043) compared to that of OLP (2.272 ± 0.09) and OLR (2.27 ± 0.073) showed an increase and it is statistically highly significant ( P = 0.002 and P = 0.003, respectively).

A highly significant rightward shift in the ZSF1‐obese line was observed ( P = .002), while the slope was not different ( P = .19).

Because all four global tests were highly significant (χ 2 >112, df = 4, P < 0.002), pair-wise tests were subsequently conducted and found to be significant as well (Table 1 ).

showed that, in a cohort of 28 patients, a 12-week supplementation with a probiotic significantly reduced TLC from 72.93 ± 10.11 to 33.57 ± 4.77 (Δ = −53.97 ± 10.04), a change that was highly significant compared to placebo (Δ = −4.29 ± 12.58, p = 0.002) [ 18 ].

Although this shift in mean frequency is not statistically significant due to the broad range of anti-NS3 responses, the changes for individual subjects are highly significant ( P = .002 for Healthy Control 1; P = .005 for Healthy Control 2).

A t -test calculated across all farms confirmed the difference between the two site categories to be highly significant (p = 0.002).

The correlations between MV centric radial motion fraction and adipose tissue quantifications and patient biology were highly significant between cMr R and BSA (r = −0.49, p = 0.002) and between cMr R and BMI (r = −0.44, p = 0.005).

Logistic regression analysis showed that green tea consumption reduced the risk of aMCI in male participants (OR=0.657, P =0.019), and this finding was highly significant in males aged under 70 years (OR=0.376, P =0.002).

Bat hunting was primarily a male activity and the association between gender and bat hunting was highly significant ( χ 2 test, p < 0.002).

A highly significant negative rela- tionship between RAF1 protein levels and T50 in wtp53 cells (r = -0.97, P = 0.002) (Figure 6C) which was not present in the six cell lines bearing p53 mutations (r = 0.19, P = 0.72) (Figure 6F) was observed.

Moreover, based on an intent-to-treat analysis of response duration, a highly significant difference was apparent that favored the oblimersen plus Flu/Cy group (hazard ratio = 0.62; P = 0.002; see Figure 4 .

A highly significant increase in granulocyte count (GRA#) was observed among the exposed group with a p-value of p = 0.002.

This result is highly significant ( P = 0.002) and reliable as the CI is relatively narrow.

Crucially, the interaction of congruency and task was highly significant, F (1, 46) = 10.80, p = 0.002.

However, the quadratic model for TPC exhibited a highly significant lack‐of‐fit ( p = 0.002), indicating that the model did not adequately fit the experimental data (see Table S4 ).

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

The statistical analysis of error rates revealed no significant main effect of Set [ F (1,22) = 1.10, p = 0.307, η p 2 = 0.047], but a highly significant main effect of Target [F(1,22) = 12.11, p = 0.002, η p 2 = 0.355] with lower error rates for target repetitions.

Similarly, to attentional and behavioral response, the interaction was highly significant: nomDF/denDF = 3/4089, F = 5.11, p = 0.002.

The results show that introducing the DWR-DRB module alone increased mAP50 from 85.4% to 87.0% ( p = 0.008, d = 1.12), indicating its significant effect on sparse feature extraction; the addition of SPD-Conv further improved mAP50 to 87.9% ( p = 0.012, d = 0.98), validating its role in preserving fine-grained features; the mAP50 of the complete model (integrating all modules) reached 91.0%, showing a highly significant difference compared to the baseline YOLOv8’s 85.4% ( p = 0.002, d = 2.05), with an effect size exceeding 1.5, proving that the performance improvement is practically meaningful.

The highly significant p -value ( p = 0.002 ) underscores the robustness of this genotype-specific difference.

Furthermore, the plasma triglycerides-to-HDL ratio, a known marker for metabolic syndrome and highly atherogenic dyslipidemia,[ 18 ] showed a highly significant correlation with mFD (r = 0.480, p = 0.002).

Specifically, the reduction in OK was statistically significant ( p = 0.014, d = 0.81, CI 95% = [0.15, 1.47]), and in mus308 , the reduction was highly significant ( p = 0.002, d = 1.25, CI 95% = [0.49, 2.01])—suggesting a cytotoxic effect of smoke exposure on spermatogenesis or viability.

Nevertheless, the changes in the Fs-LASIK group are more predictable at 3 months postop, because the intergroup differences in the correlation coefficients for the J0 vector were highly significant (P=.002).

By contrast, the main effect on feature-based inter-trial effects was statistically highly significant, F (7,116) = 3.6, p = 0.002.