Excerpts

All the relations were found to be highly significant (p = 0.000).

An important finding from this study is the highly significant concordance between the status of MGMT methylation and its in situ protein expression by IHC (63% MGMT hypermethylation v/s 60% loss of MGMT protein; p = 0.000).

The effect of urethral elasticity on the likelihood of SUI was highly significant ( p < .000), with individuals with reduced urethral elasticity being more prone to developing SUI.

The level of significance was determined using paired t -test with 95% CI that showed a highly significant P -value ( P < 0) that is representing there is a significant difference between tested variables, i.e., pre-test score and post-test score ( Table 2B ).

mutans count during the 4-week period which was of highly significant value, F (1.664, 34.000) = 169.607, P = 0.000.

Regarding justification of the three-level model with a random intercept and a random coefficient, it should be noted that the likelihood-ratio test comparing a random-coefficient model to a random intercept model yielded a highly significant chi-square value of 75.96 (degrees of freedom (DF) = 1, p = 0.000).

The smoothed spline model showed a trend of increasing and then decreasing morbidity with increasing SDI, analysed as R = 0.582, p = 0.000.

Their difference is small but statistically extremely significant (t-test P -value ≈ 0).

The highly significant results of the omnibus models ( p < 0.000) indicate that these associations are highly unlikely to have occurred by chance.

However the pooled regression model exhibits potential biases by failing to consider hierarchical effects, evidenced by elevated coefficients for variables. In Table 7 , the ML model exhibits a robust model fit, evidenced by a highly significant Wald chi-square statistic (1439.560, p < 0.000) and a low residual variance (0.023 with a standard error of 0.001), signifying that the model significantly accounts for variability in the data.

All differences were highly significant with p = 0 to machine precision.

The model explains approximately 22.58 per cent of the variance in intrinsic motivation with a highly significant F value of 43.15 ( p < 0.000).

Highly significant difference was observed between season and stiff neck ( p = 0.00) accompanied with significant but weak association ( Corre = 0.23 [95% CI: 0.13 to 0.33]).

The values of salivary pH and salivary buffering capacity showed good correlation in both the type 2 diabetics and the control group, as the salivary pH decreased the salivary buffering capacity also decreased and the relationship was highly significant statistically ( P = 0.000) [ Table 2 ].

Nonparametric statistics suggests a z value of −3.774 with a highly significant P = 0.000.

The mean difference of -1.933 was highly significant (p=0.000).

After applying the first difference, all variables display strong evidence of stationarity, with all four test statistics highly significant ( p -values = 0.00). 4.2.

The logistic regression model was statistically highly significant (χ 2 (4) = 28.619, p = 0.000 with df = 4).

A Chi squared test yielded a highly significant result, p = 0.000, but Cramér’s V = 0.109 indicates only a weak relationship between gender and the number of employer changes.

Additionally, response speeds differed by emotion category, with fear slower than anger ( t = 53.94, p < 0.001, d = 0.91) and happiness ( t = 55.17, p < 0.001, d = 0.93), and a small, but nominally significant difference between anger and happiness ( t = 2.25, p < 0.0 5, d = 0.04), with happiness faster than anger.

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).

There was a highly significant relationship between pleural fluid, TTF-1, and lung adenocarcinoma (p=0.000).

The meta-regression analysis of the effect size confidence interval (es_ci_lower and es_ci_upper) presented a highly significant positive slope ( p = 0), meaning that the precision of the research design, boundary conditions, and the reported success level are intrinsically linked.

The correlation between the number of drugs taken by a participant and their age was also highly significant but was weak ( s = 0.0843, r = 0.0868, p = 0.0000), as shown in Fig. 3 B.

The results for normalized FFMI are consistent with those relative to FFM ( Table 1 -I): the effect of time was highly significant ( p -value = 0), with a strong positive Estimate (0.4807), indicating a constant and marked increase in FFMI during the rehabilitation period.