“close to significance”

Despite the small sample size, we found 21 isoform biomarkers whose association is close to significance ( p < 0.1; Supplementary Table 2 ).

Covariates that were significant or close to significance on univariable analysis (Chi square, p < 0.10) were included in multivariable logistic regression to predict peritoneal surface recurrence.

When analyzing the results shown in Table 2 , values close to significance were observed for ROI 5, with a very large effect size ( p < 0.1; R2: 16.5%), suggesting a strong indication of a relationship between these factors.

Variables with statistical significance ( p < 0.05) or close to significance ( p < 0.1) in univariate analysis were included in multivariate analysis using the forward stepwise Cox proportional-hazards model.

Multivariate analyses Multivariate analyses were performed on variables that had a significant effect on a given risk domain in univariate analyses or were close to significance (i.e., had p < 0.1) and occupational group, which is the main variable of this analysis. 3.2.1.

The prior treatment with caplacizumab was also close to significance in terms of relapse risk (15 vs. 24, p = 0.1).

asthmatic volunteers in the Stockholm underground study and 12,13-diHOME was close to significance ( p = 0.1), none of these were significantly increased in the Stockholm underground following exposure vs. no exposure, and further examination of the Stockholm underground study shows that the significance threshold for analysis between asthma status was likely attained not simply because of an increase in levels of these oxylipins in healthy lavage fluid, but also because of a decrease in their levels in asthmatics.

An independent variable that was significantly associated with or close to significance (p≤0.1) with the explanatory variable was suspected as a confounding variable in the tested association.

Model 4 ( Table 5 ) shows that none of the country characteristics reached statistical significance; however, the number of COVID-19 cases per million inhabitants during the first wave came close to significance at p = 0.10, the level set for the country-level variables.

Finally, we used severe logistic regression models with different combinations of the variables that were statistically ( p < 0.05) significant or close to significance ( p < 0.1) in the univariate analysis to find out the factor that could correlate with the PDs.

Changes in CRF in girls were positively and close to significance ( p < 0.100) affected by FMI baseline .

Factors that were close to significance ( p < 0.1) or significantly associated with the risk of ARIA‐E were further evaluated using logistic regression with baseline age and EYO as covariates.

Multivariate logistic regression analysis for the predictive potential of the combination of high serum TNC and high serum CCN3 with other significant factors or factors of interest was close to significance (p<0.1and the TNC high +CCN3 high combination was an independent risk factor for PHLF with an odds ratio (OR) of 26.583 (p=0.008) ( Table 2 ).

3.3 Body composition Product effect on the changes in body weight and BMI from V2 to V5 was close to significance level (in the ITT and the PP populations for body weight, in the PP population for BMI; p < 0.1): body weight and BMI tended to increase in the placebo arm, while remaining relatively stable in the scFOS arm ( Table 3 ).

Thus, some relationships close to significance ( p < 0.10) between the function parameters and some VOCs such as tetradecane or pentadecane (Table 4 ) could be significant if more subjects were included.

Included in these analyses were those variables that had a significant effect on a given risk area in the univariate analyses or were close to significance (i.e., had p < 0.1), as well as occupational group, which is the main variable in this analysis. 3.2.1.

In the 8–16 range, the age–gender interaction with FA is not significant, but does reach close to significance ( p < 0.1) in a subset of the regions shown in the 8–13 group.

Variables with statistical significance ( P < 0.05) or those close to significance ( P < 0.1) by univariate analysis were subsequently included in the multivariate analysis.

Variables that achieved statistical significance ( p < 0.05) or were close to significance ( p < 0.1) in the Spearman’s rank correlation coefficient and possible factors were included in the multiple linear regression analysis.

Variables that achieved statistical significance ( p < 0.05) or those that were close to significance ( p < 0.1) by univariate Cox proportional hazard model were subsequently included in the multivariate analysis using a forward stepwise Cox regression model.

Interestingly, the current investigation was able to detect a significant interaction effect only on the DWI measure of MD, with P -values close to significance for all other DWI metrics (FA, RD, AD, all P < .10)).

However, the convergent correlations were around twice the magnitude of the divergent correlations and this difference was close to significance ( P < 0.10).

Four sets of Polycomb-regulated genes, which characterize more differentiated cells, were up-regulated in the differentiated subtype when compared to the stem-like subtype and were close to significance (p<0.10).

78, P = 0.017), physical activity more than 30 min/day (Beta = − 0.4 95%CI:-0.8–0, P = 0.05), CED history (Beta = 0.49 95%CI:0.1–0.89, P = 0.015), MMSE score at baseline (Beta = 0.56 95%CI:0.47–0.64, P < 0.001), and HBA1c ≥8% (Beta = 0.61 95%CI:0.08–1.14, P = 0.024). Factors that had a level at or close to significance ( P < 0.1) were then included in multivariate analysis for independent factors related to MMSE decline (Table 3 ).

Secondly, the multivariate analysis showed an important effect of categorized ghrelin on sarcopenia (adjusted by age and sex) with an OR = 3.1 and a P value close to significance (P < 0.10).