“highly significant”

From paired “t-” test results, a highly significant difference was noted on the 3 rd and 6 th months postoperative review ( P = 0.000, <1% and P = 0.000, <1%), with more radiodensity on PRF side compared to non-PRF side [ Table 1 ].

A comparison of laboratory parameters between pre- and post-transplant of ABO-match and mismatch groups showed a highly significant association with hemoglobin, platelet counts, total leukocyte counts, and total bilirubin respectively (p=0.000).

The much greater likelihood of survival for those having mucin- ous tumours than for those with serous tumours is statistically highly significant (X2 = 545, n = 1, P < 0X001).

At 2 h, the spinal group experienced significantly higher pain NRS (4.03 ± 1.38) compared to the popliteal group (2.20 ± 0.72), with a highly significant P = 0.000.

B16BL6 injections, a mean of 227 + 27 surface tumours were seen in 12 pairs of lungs compared with 286 + 31 total tu- mours, corresponding to 113 + 11%. Although in both tumours the total lung counts were higher than the surface counts, linear-regression analyses between them shows highly significant (P = 000 1) correlation coefficients, and analysis of variance between surface and total copnts fails to reveal significant differences (B16F1O, 0-2>P>0-1; B16BL6, P>0 2).

After adjusting for age and gender in his study, there was a highly significant difference between stage IV patients and stage I patients (HR = 8.81, 95% CI: 3.20-24.22, p = 0.000) ( 49 ).

The results showed highly significant QFO - > EWA (β = 0.640, T-stat = 14.077, p > 0.000).

The correlation between EC 80 and survival was highly significant ( P = 0.000).

BGDR reported highly significant coefficients for MA(1) = −0.9986 ( p = 0.000) and seasonal MA(1) = −0.9637 ( p = 0.000), with AIC = 13232.4, BIC = 13257.7, and residual diagnostics showing no autocorrelation (Ljung–Box p = 0.94) and no heteroskedasticity ( p = 0.40).

A highly significant difference (P = 0.000) was found in the total knowledge score between the participants with a dental degree and those with other qualifications (Table 4 ).

This is highly significant (p<0.000).

A two-way analysis revealed a significant main effect of Cluster (T WJ (3, 19.30) = 7.162, p = 0.012), as well as a highly significant main effect of Sex (T WJ (1, 32.25) = 20.377, p = 0.000).

Sex effects revealed a highly significant ( p = 0.000) AUC in all the groups even at each time point.

Fisher Exact test was then employed in two consecutive steps: the first, an overall test, resulted in highly significant differences ( p = 0.000) and strong effect size (Cramer’s V = 0.57) among the routes.

The final multivariate logistic regression model identified age as a highly significant risk factor for hypertension among people on ART (OR: 1.08, 95% CI: 1.055-1.11, p=0.000).

Father’s education showed the most consistent and highly significant associations across all 3 dimensions: emotional (χ2 = 32.59, P = .000), physical activity (χ2 = 23.63, P = .000), and social interaction-based eating habits (χ2 = 33.54, P = .000).

Meanwhile, the pairwise homoplasy index (PHI) [ 40 ] statistic provided highly significant evidence for recombination within M. luteus species ( p = 0.00).

Effects of genotype and severance on plant performance in the first phase Severance had highly significant negative effects on all components of mass and on ramet number of the apical portion ( Figures 1A–F ; Table 1A : F = 19.03 – 35.04; P = 0.000 – 0.000).

Statistical analysis confirmed a highly significant reduction in bacterial presence within the Monocryl ® Plus group (P = 0.000).

The differences between the ICRU bladder point and bladder 2 cm 3 doses across all the 3 series was highly significant ( p = 0.000).

When scores on the first principal component were included in alternative Model 2b together with the variables from Model 2, the component was a highly significant predictor of symptom improvement for both PTSD (HTQ) (β = 0.30 p = 0.000) and depression (HAM-D) (β = 0.25 p = 0.001).

For the oil phase, all criteria were highly significant ( p = 0.000), indicating strong effects on the dependent variables.

There was a statistically highly significant difference seen for the VAS score between sites at Site A1, Site A2, Site B1, and Site B2 at baseline (p = 0.000), one hour (p = 0.000), and two weeks (p = 0.000).

According to the chi-square test, this relation between age and third molars present was found to be highly significant (p=0.00).

The result was highly significant (P = 0.00) suggesting well fitness of the model.