Excerpts

In the groups of half tablets (split by knife or cutter) a strong positive ( r ≥ 0.947), highly significant ( p < 0.001) correlation was found between weight and drug content, indicating a good tablet content uniformity.

Data analyses Bivariate comparisons of diabetes mellitus with multiple variables (Table 2 ) showed highly significant (p≤0.001) correlations with age, a diagnosis of arterial hypertension, urine albumin, body mass index, and waist circumference.

PCI had the highest proportion in the VA/BA group (83.3%), with a highly significant difference ( p < 0.001).

Similarly, constraining the correlation between ST and CB to 1.0 resulted in a highly significant degradation of fit (Δχ 2 (1) = 32.457, p < 0.001).

The genotype of gilts had a highly significant effect ( p < 0.001) on BF1 (backfat thickness 1), BF2 (backfat thickness 2), and MLD (depth of the back muscle), while it showed no significant influence on AET (age at the end of the test) ( p > 0.05).

Probability values were all calculated to be highly significant (p < 0.001).

Based on the conducted Two‐Way Repeated Measures ANOVA, the proportion of pectins in the neck cell wall (NCW) statistically differed from that in the stalk cell wall (SCW), which is supported by a highly significant dependency of the enzymatic hydrolysis effect on the cell position ( p < 0.001).

Relative risk analysis of non-susceptibility to piperacillin/tazobactam across isolates from the three study sites revealed a highly significant association for OXA-1 ( P < 0.001), whereas no significant associations were observed for TEM-1 ( P = 0.424) or the combination of OXA-1 and TEM-1 ( P = 0.082).

The difference between the two subgroups was statistically highly significant (p < 0.001) (McLauchlan et al., 1997, p. 296) [ 11 ].

As shown in Table 1 , there was a clear trend of CT features being more common in advanced stages (pT3 to pT4) and the tumor sizes increased with more advanced pT stages (F = 451.43, p < 0.001) ( Table 1 ).

There was a highly significant positive correlation between levels of urinary ECP and urinary IL-6 (r = 0.54, p < 0.001; n = 143) (Figure 3 a) and a significant negative correlation between levels of urinary ECP and urinary IL-10 (r = -0.21, p = 0.012; n = 143) (Figure 3 b).

If we adjusted for age, gender, pre-admission residence type, type of admission (emergency or not), Charlson co-morbidity index, type of service, and ICU stay, these differences were less pronounced, but still highly significant (adjusted mortality OR (95% CI): 3.18 (2.79 to 3.63), p < 0.001; adjusted HR (95% CI) for ICU discharge: 0.39 (0.36 to 0.41), p < 0.001; adjusted HR (95% CI) for hospital discharge: 0.43 (0.41 to 0.45), p < 0.001; adjusted median difference nursing hours (95% CI): 37.3 (35.0 to 39.5), p < 0.001; adjusted median cost difference [in thousand CHF] (95% CI): 10.0 (9.3 to 10.6), < 0.001).

Wilcoxon matched-pairs signed rank test showed that this difference was highly significant ( p < 0.001).

As a total, so far 13/59 patients (22%) in the LNG-IUS group and 35/61 (57.4%) in the NET treatment group have undergone hysterectomy with highly significant difference; RR=0.38 (0.23-0.65), p<0.001.

Zinc (Zn) concentration exhibited an extremely significant difference ( F 0.05(1,45) = 42.815, p < 0.001), though its absolute values were negligible in both areas.

Internalized stigma emerged as a highly significant predictor across all three outcomes (p ≤ .001).

The BE showed a highly significant group effect ( p < 0.001).

4 , 7 In our cohort, we observed a moderate but highly significant correlation between LVEF and GLS (ρ = 0.47; P <.001), consistent with previously reported moderate-to-strong linear relationships. 7 , 8 , 9 A multivariable Cox proportional hazards model was used to identify independent factors of OS ( Table 2 ).

The increase in model fit is highly significant ( χ 2 difference = 41.66, p < .001), which indicates significant differences between slopes.

3 RESULTS 3.1 Analyses with all species included There was a clear separation between the old and the new relevés in the db‐RDA ordination space (Figure 3 ), and the PERMANOVA indicated that time had a highly significant effect on species composition ( F = 9.615, p < .001).

In contrast, petechiae exhibited a highly significant association with liver stiffness (χ2 = 19.516, P < 0.001), highlighting its potential value as a clinical indicator for liver fibrosis.

Linear regression indicated that both PFOA concentration and culture time are highly significant predictors for both α and M ( p < 0.001 for all).

Results for all concentrations ≥250 μM were highly significant (likelihood ratio χ 2 , p < 0.001) compared with the control.

There was a highly significant correlation between the peptoid binding using both IgG and serum protein “normalization measures” ( r = 0.79, p < 0.001).

The model addresses this through a highly significant interaction term (p < 0.001).