Excerpts

Vaquitas and NP2 harbor porpoises also displayed marginally significant NI values ( NI > 2, p -value ≤ 0.10; Fig. 4 a).

There was also a statistical trend (p < 0.1) between MPR values for patients with poor outcome and the deceased (Fig. 2 a–c).

One study using data from four cross-sectional and longitudinal surveys from 25 European countries, Israel and the United States found that depressive symptoms were linked to reduced voting in three of the four datasets and were of near significance in the fourth (p < 0.10) 13 .

Only three bivariate linear models yielded near-significant ( p < 0.10) relationships with number of trees, and these models still yielded significance with these predictors: mean distance to nearest town ( p = 0.006; R 2 = 0.523), distance to nearest trail ( p = 0.014; R 2 = 0.476), and mean wind speed ( p = 0.006; R 2 = 0.517).

AD patients showed a trend towards reduced TSH (1.38 ± 0.84 vs 1.58 ± 0.73, p = 0.10) and fT4 (1.17 ± 0.17 vs 1.22 ± 0.21, p = 0.08) levels, although not reaching the statistical significance; in contrast fT3 was significantly lower (3.04 ± 0.33 vs 3.18 ± 0.27, p = 0.004).

Variables that showed a trend towards significance (p < 0.1) in the univariate regression were added to a step-down multivariable logistic regression model to determine independent predictors of BI.

Moreover, while PM data is not significant, the distribution of DMs is slightly significant according to the χ 2 test ( p < 0.1).

The difference was close to significance (p < 0.1).

However, when responses over each time period were compared between women and men, aside from a trend towards significance for stroke volume (Fig. 2 , panel D) and index of contractility (Fig. 4 , panel D), no significant gender differences (all P > 0.10) were identified in response to water ingestion.

Pathways analyses Separate path analyses (for men and women) were obtained through the next procedure: (a) firstly a complete path-diagram structure with all the variables considered in the correlational analysis (Table 2 ) was tested; (b) next, all non-significant coefficients were deleted to achieve a more parsimonious model; (c) fitting indexes for the finalistic model containing only significant coefficients ( p < 0.05) or quasi-significant coefficients ( p < 0.10) were obtained; and (d) the final model coincided with the finalistic model in the case of adequate goodness-of-fit, while a reviewed model was tested in the case of non adequate fitting.

begin{document}$${\mathrm{Y}}_{1} = 203.20 + 14.00{\mathrm{A}} + 16.13{\mathrm{B}} + 12.25{\mathrm{AB}} - 10.10{\mathrm{A}}^{2} + 8.65{\mathrm{C}}^{2}$$\end{document} Y 1 = 203.20 + 14.00 A + 16.13 B + 12.25 AB - 10.10 A 2 + 8.65 C 2 According to Table 6 , the quadratic regression model P < 0.01 is extremely significant, and the lack of fit term P > 0.1 is significant, indicating that the fitting model can correctly reflect the relationship between various factors and errors, and can better predict the test results.

Meanwhile, the effect of R&D investment on firm value is only marginally significant (Model 4, coefficient: 0.124, p < 0.1).

In each model, we observed a significant main effect for time (model 7: t (1260) = 8.693, β = 0.143, p < 0.001) as well as a marginally significant main effect for the right dorsolateral prefrontal cortex (DLPFC) (model 7: t (1260) = 1.837, β = 0.078, p < 0.1).

Genes involved in starch and sucrose metabolism and amino sugar and nucleotide metabolism were affected by the factor group: the former had a higher relative abundance in CON and MUL than MUH ( p < 0.01), whereas the latter showed an increasing trend in MUL compared to MUH ( p < 0.1).

However, a correlation (R 2 = 0.34) was observed between weight gain and energy expenditure that was not quite significant (P = 0.100) (Fig. 3g ).

were increased by ginseng polysaccharides or oligofructose treatments with significant ( p < 0.05) or near-significant (0.05 < p < 0.1) differences compared with the model group ( Fig. 2c ).

The linear term remained significant if we removed group BWE, KUY, or UGE; it became a statistical trend (0.05 < p < 0.10) if we removed group INS, ISA, NTA, TIT, or URU; and the p-value increased to 0.57 if we removed the largest group.

There was a trend of higher alpha diversities (number of species, Chao1 and Shannon index) for CRA + compared to CRA- with a borderline significance (0.05 < P < 0.1).

RIPK3 transcription showed a trend towards elevation in neurons in the BDNF ko group despite siponimod administration (p = 0.1 for BNDF ko ctrl vs.

When building a logistic regression model, the variables with borderline significance between the sexes at baseline (P ≤ 0.1: age, hypertension, NIHSS of 0 at baseline) were independent risk factors for poor functional outcome (P = 0.001) but none of them were independent risk factors for poor social outcome.

Effects of low doses of GOP showed a slight trend on IL-6 compared to control ( p < 0.10).

When combination of enhancement and IPH was used for culprit plaque classification, DL-VWI showed higher AUROC (0.91; sensitivity 100%, specificity 81.6%) in diagnosing culprit plaques than Conv-VWI (0.84; sensitivity 88.2%, specificity 79.6%), with marginal significance ( P = 0.10).

Compared with` the control, the mRNA expression of Aggrecan and Col2α1 , which are genes that reflect cartilage function, were significantly decreased (P < 0.01) or exhibited a decreasing trend ( P < 0.1).

For all other SNPs, only marginally significant associations were observed when dominant model was applied (p < 0.1, Table 2 ).

Factors that exhibited at least marginal significance ( P < 0.10) in the univariate analyses were included in the multivariate analyses using Fine and Gray proportional hazards model, and subsequently deleted from the model in an enter manner.