“a statistical trend”

The result of a statistical test was considered as a statistical trend for p < 0.1 and significant for p < 0.05 and SAS, release 9.4 (SAS Institute Inc., Cary, NC, USA) was used for statistics.

A statistical significance between comparisons was defined when P ≤ 0.05 and a statistical trend was defined as 0.05 < P ≤ 0.10.

In aggregate, X4 (median IC 50 : 161.7, range: 122.8–179.6) as compared to R5 (median IC 50 : 425.3, range: 174.5–684.8) viruses showed a statistical trend of around 3 fold greater neutralization resistance to the pooled R5 plasma (p = 0.1, paired Wilcoxon rank sum test) ( Fig. 2 e).

Furthermore, the univariate regression analysis provided a statistical trend, p < 0.10, for the association with the comfortable walking speed score as well as the maximum walking speed max ( Table 3 ). 4.

Additional factors were trialed within the multivariable model if a statistical trend (p≤0.10) was observed on univariate analysis and the association was considered biologically plausible, but excluded from the final model if it did not thereafter meet statistical significance.

All parameters showing a statistical trend ( p < 0.1) in univariate analysis were included in a multivariate regression model to identify parameters that were independently associated with unfavorable outcomes at 3 months.

4a ), being significant for Eif2b3 and showing a statistical trend (p < 0.1) for the other three: Med28 , Pias1 and Sirt1 (Mann-Whitney U test).

Statistical significance was set at p = 0.05, and the threshold for a statistical trend was set at p ≤ 0.10.

Furthermore, a statistical trend (0.05 < p < 0.10) pertained to the genomic variance of NDV titre and IgA level difference between the first and last day of the monitoring period; respective ratio estimates were 0.047 and 0.061 ( Table 5 ). 3.4 Correlations between the phenotypic traits Phenotypic correlations between the studied traits are included in Supplementary Table S2 .

Effect Associated with Infection Status For outcomes where a statistical difference ( p < 0.05) or a statistical trend ( p < 0.1) was observed between FREE and PSI or RI herds, the direction of the effect of BRSV and BCoV infection status is shown in Table 2 .

We also interpreted the effect of the difference as a statistical trend on level (0.05 < p < 0.10), which was recommended in the literature of biomedical sciences [ 54 ]. 3.

Differences were considered to be significant if p<0.05 and a statistical trend if p<0.1.

Furthermore, we found a statistical trend for a difference in perceived social bonding between 7-repeat carriers and non-carriers within the alcohol condition at this alcohol dose ( p = .10) such that, as expected, carriers of the 7-repeat reported increased perceived social bonding compared to 7-absent individuals.

The difference in C-index between the 5 mm tumour rim and the corresponding core volume showed a statistical trend ( p = 0.10).

Independent variables that achieved a statistical significance (P < 0.05) or a statistical trend ( P < 0.1 but ≥ 0.05) in univariate analysis were used in multivariate analysis.

However, the comparison approached significance as a statistical trend for this improvement from baseline to 3 months ( P = .10), when collapsing both groups.

For all statistical analyses significance was declared at P ≤ 0.05 and a statistical trend was considered for 0.05 < P ≤ 0.10.

PVT performance for the ESS condition was not significantly different from the control sleep condition, but there was a statistical trend ( p < 0.1) towards more impairment in the ESS compared with the control condition on reciprocal RT and reciprocal RT of slowest 10% ( Figure 2 ).

Statistical significance was assigned as p < 0.05 and a statistical trend was defined as between p < 0.10–0.051.

The alpha criterion level was set at 0.05 for all statistical analyses, but we also interpreted the effect of the difference as a statistical trend on level (0.05 < p < 0.1), which is recommended in the literature of biomedical sciences [ 82 ]. 3.

Confounding factors and other variables with a statistical trend ( p ≤ 0.1) in the univariate analysis were included in multivariate logistic regression analysis (forward selection) to develop a basic model for the favorable prognosis.

A statistical trend for a difference was defined as an unadjusted Wilcoxon rank sum test or Welch’s t -test result of p < 0.1 and a Hedge’s g effect size | g |≥ 0.8.

011 ) and a statistical trend for the main effect of baseline HOMA-IR HOMA-IR ( F(1 , 185) = 2 . 28 , p = 0 . 100 ).

A statistical trend was defined as a P value < 0.1 but >0.05/n.

There was a statistical trend (0.05 < p < 0.10) towards higher SWD levels in males than in females ( r (37) = − 0.23; p = 0.09).