“marginally significant”

argentinus , the palate length and upper post-canine length were marginally significant ( P < 0.1), whereas orbit length and diastema length were significant ( P < 0.05), suggesting that these data are non-normally distributed.

After univariate analyses, marginally significant (P<0.1) factors and demographic characteristics were included for multivariate analyses ( Table 2 ).

Predictors that were found to be marginally significant (p < 0.10) in the bivariate analyses were considered for inclusion in a stepwise regression model (p < 0.10 to enter and p < 0.10 to remain) to construct a final, season-specific model for each of the pollutants by season.

Findings were considered statistically significant at p < 0.05 and marginally significant at p < 0.10.

After removing these data, we found that the associations with valence ratings remained marginally significant for both the CS and ZM data ( t (22) > 1.32, p < 0.10).

All results were considered significant at P ≤ 0.05 and marginally significant at 0.05 < P ≤ 0.10.

In addition, a 1-SD increase in VO 2Max was associated with a marginally significant increase in short-term memory scores by 0.21 SD (95% CI: –0.04, 0.46; z = 1.66, p = 0.10).

In particular, pNNI20 and LF showed a significant difference ( p < 0.05), and a marginally significant difference was observed for SDSD, RMSSD, and total power ( p < 0.1). 3.3.

The Correlation between Phenology and the Simulated Increase in Precipitation A simple linear regression analysis showed that the beginning times of leaf budding, leaf unfolding and leaf senescence had a marginally significant linear negative correlation with the increase in simulated precipitation during an extremely wet year (0.05 < p ≤ 0.10), but this correlation was not significant during an extremely dry year ( Figure 6 A).

Overall, supplementary pollinated flowers produced a significantly ( p < 0.05) or marginally significant ( p < 0.10) lower proportion of small fruits compared to open pollination in three out of nine orchards in 2018, and in six out of twenty-two in 2019 ( Tables S2 and S3 ).

The difference between these responses was marginally significant ( P = 0.10).

Then, those factors showing at least a marginally significant correlation ( P < 0.1) were screened out to construct a Multivariable logistic regression model.

Child age and gender were marginally significant predictors ( P < .10) of daily PA.

Within the actively recruited group, there were a few marginally significant differences (i.e., p < 0.10) in that enrolled participants were slightly more likely to be women and older while being less likely to be Hispanic when compared to those that declined participation.

Between the glocal identity type corner and local identity type corner (Point D) this difference was marginally significant ( p < .10).

For each variable, if its correlation coefficient, either positive or negative, is marginally significant with p -value < 0.1, variable is selected to be included in the remainder of the process.

Multivariable regressions retained the main grouping variables as well as any other factors that had marginally significant ( p < 0.1) associations with the outcome in univariable analysis.

These ethnic differences are marginally significant ( p < .10).

Marginally significant variables ( p ≤ 0.10) in univariate analysis were included in a multivariate Cox proportional hazards regression model to identify risk behavior factors associated with HIV incidence [ 27 ] after adjusting for sociodemographic characteristics.

Risk factors were first explored using a univariate analysis; those which showed at least a marginally significant association ( P < 0.1) were then considered as candidates for a subsequent forward stepwise multivariate logistic regression.

As shown in Table 3 , the interaction term of cases and openness was significant ( b = −0.418, SE = 0.153, p = 0.007), and the interaction term of cases and conscientiousness was marginally significant ( b = −0.163, SE = 0.099, p = 0.10).

The interactions between ethnicity and the proportion of ethnic minorities in classes of .25–.50 were marginally significant (.25, p < .10).

The third column of Table 2 shows that in the univariate Cox's PH models, all variables, with the exception of age and tumour pathology, had statistically significant ( P <0.05) or marginally significant (0.05< P <0.10) crude unadjusted associations with the hazard.

Having had an HIV test and PrEP stigma were marginally significant (p< 0.10) in DC.

In real-time PCR of NPY, galanin, NTS and their receptors, statistically significant increase of NPY1R ( p <0.05) and marginally significant increase of NPY2R, GAL2R, and NTS2R ( p <0.1) was verified in lesional skin.