“a significant trend”

A significant difference is shown by a p < 0.05, a significant trend is indicated by a 0.05 ≤ p ≤ 0.10, and no significant difference is indicated by a p > 0.05. 3.

Among them, 14 bacterial genera are significantly correlated with BMI ( P < 0.05), while the unclassified o_Rhodospirillales shows a significant trend ( P < 0.10; Fig. 3i ).

A significant difference was set at P < 0.05, and a significant trend was considered at 0.05 ≤ P ≤ 0.10.

In fact, the only method to detect a significant trend of viral transcript abundance to moisture was the Vir DNA ( p ≤ 0.1).

P < 0.05 indicated statistical significance, and results were considered as a significant trend at P < 0.1.

Although no voxel survived statistical correction for multiple comparisons ( p < 0.05) in most of the analyses (except LDH in Session 2), there were some voxels that showed a significant trend ( p < 0.10, TFCE corrected; Fig. 2 ).

Secondly, multiple linear regressions were only conducted with the independent variables that are associated with a significant trend or effect ( p < 0.10).

However, as presented in Table 3 and Figure 2 , the HS exposure reduced the jejunal microbial species number at the class and order level ( p < 0.05) and had a significant trend to decrease the jejunal microbial species number at the phylum and family level ( p < 0.10).

No differences were observed on BW at 44 d of age ( P = 0.415) between experimental treatments, but a significant trend was observed on BW at 65 d of age ( P = 0.100).

The LF/HF ratio of the Mi group showed a significant trend on day 1 compared with that on day 10 ( P <.1) and on day 5 compared with that on day 10 ( P <.05).

Statistical significance was considered at P < 0.05, with a significant trend noted at 0.05 ≤ P < 0.10.

Among histological features, the average number of mitoses in locally recurrent cases (5.47/10 HPF) was higher than those in non‐recurrent cases (3.88/10 HPF) (t‐test, P = 0.055, a significant trend 0.05 ≤ P < 0.10).

Thus, only the significant variables ( p < 0.05) or those with a significant trend (0.05 < p < 0.10) were included in the final model.

The factors included in the multivariate analysis were those that were significant or showed a significant trend (P < 0.1) in the univariate model.

Univariate and multivariate logistic regression analysis were applied to assess the relationship between clinical variables and fusion imaging findings, variables with a significant trend ( P < 0.1) in the univariate analysis were entered in the multivariable analysis.

In addition, given the relatively small number of studied lambs (related both to the complexity of the ovine model and ethical constraints), it was decided to give full consideration in the discussion to the presence of a significant trend, defined as P<0.1.

The percentage of ‘separated’ MUs was relatively small (~20–30%, Figure 6 B right panel), although the Kruskal–Wallis test did not reveal a significant trend with age in all groups of infants ( p > 0.1).

All variables determined to have a significant trend ( p < 0.10) in univariate analyses were candidates for multivariate analysis.

When the Spearman’s rank-order correlation analysis was conducted on the particle ranks while excluding CRI, a statistically significant rank-order was observed for β R CELLS versus β T BALB/c (Table 6 ; R = 1.0, p < 0.001), while β I-V CELLS versus β I BALB/c and the integrated potency estimates Iβ CELLS versus Iβ BALB/c did not show a significant trend in a correlation due to low power (Table 6 ; R = 0.8, p = 0.100).

To assess each clinical characteristic's absence on the occurrence of ICU-AW, logistic regression analysis was conducted, correcting for risk factors that showed a significant trend (P ≤ 0.1) in univariate analysis.

While pressure pain thresholds lowered in the control area they increased in the affected area combining to a significant trend in the normalized data (p < 0.10).

A significant trend was absent in trunk ( P = 0.103) or branch ( P = 0.94) communities.

Following the onset of the pandemic, Linezolid usage experienced a sharp increase in consumption levels (β = 95.64, 95% CI: 49.03, 142.26, p < 0.001), though this change did not extend to a significant trend alteration (β = -2.68, 95% CI: -6.01 to 0.65, p = 0.105).

The estimated incidence did not show a significant trend (χ 2 =2.605, P=0.107); however, the prevalence showed a significant decreasing trend between 2016–2022 (χ 2 =41.196, P=0.000).

The C max was significantly correlated with the dose ( r = 0.606, P = 0.037) although AUC 24 did not exhibit a significant trend toward increasing values as the dose was escalated from 300 to 600 mg ( r = 0.486, P = 0.11).