Differences between racial groups overall were marginally statistically significant (ANOVA p values = 0.1 for group comparisons).
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“marginally statistically significant”
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p=0.08
In the literature
Variables that either resulted in statistically significant odds ratios (ORs) ( p -value ≤ 0.05) or marginally statistically significant odds ratio (ORs) ( p -value < 0.10) to cater for probable within sample variations [ 25 , 26 ], or were found to be clinically relevant based on the literature, even if not found to be statistically significant, were considered for inclusion in the fully adjusted multivariable regression model [ 27 ].
A p -value of less than 0.05 ( p < 0.05) was considered statistically significant, and 0.05 < ** p ≤ 0.1 was marginally statistically significant, while a p -value higher than 0.1 ( p > 0.1) was not statistically significant and indicated strong evidence for a null hypothesis. 3.
Similarly, women who lived in townships with 13 or more providers had 1.458 higher odds of using a modern method compared to women who lived in townships with less than 6 providers [CI: 0.945-2.249] (marginally statistically significant at p < 0.1).
We observe that the gender differences are marginally statistically significant, (b = −.138, p < .10 for WFC X spousal disputes X women), thereby supporting Hypothesis 4b.
In the first model for Perceived Ease of Use (PEOU), AU was negatively associated with PEOU for females (b = -0.29), and this relationship was marginally statistically significant ( p < 0.10).
The marginal effect of a change in unemployment on unmet medical need was reduced by one‐fifth, though this association was marginally statistically significant at the P < .10 level.
A Cox regression analysis was carried out to analyse time to heal with 12 weeks, adjusting for all available covariates that were significant or marginally statistically significant ( P < .1).
Then, marginally statistically significant factors ( P < 0.1) were included in a multivariable mixed-effects model.
On average (median), facilities flared 2.4% (0.71%) of their capacity in year 1 vs 0.71% (0.28%) later, a marginally statistically significant difference ( p < 0.1) ( Table S10 ).
4 ), although this trend was marginally statistically significant for ZCL and SZL ( P = .10 and 0.09 respectively) and not significant for SL ( P = .45).
There was, however, a marginally statistically significant ( P <.1) difference found in the reporting of pain by age groups, with pain more frequently reported by younger patients.
In the UBCS adjusted models, a marginally statistically significant ( p < 0.10) inverse association was observed for BMI assessed at four to five weeks with leptin concentration in human milk.
We found that for three of the genes, Mlh1 , Mre11B , Mus81-1 , a model with two ratios, each for different branches, was marginally statistically significant (0.05 < P < 0.1) compared to a one-ratio model.
The initial multivariable models included all marginally statistically significant variables (p < 0.10) selected by Chi-squared tests in preliminary univariate analyses and possible interactions were also examined before finalization of the model.
In terms of predisposing characteristics, only a marginally statistically significant difference (i.e. p<0.10) between males and females was found, suggesting a slight trend towards males reporting more difficulty than females.
Among the demographic variables, only age was significant, while among the cognitive status, Digit Span Backwards ( p = 0.058 ) was marginally statistically significant, followed by the MoCA ( p = 0.101 ), which was marginally significant.
Furthermore, the nasal wash PLS-DA dataset was the only model that proved marginally statistically significant ( p -value = 0.103) when cross-validated.
Although Black participants were less aware of this information (64%), compared with 81% of White participants, this difference was only marginally statistically significant (p = 0.104).
In contrast, there was a small and marginally statistically significant result when using Nyhan’s cut-offs for relative vaccine attitudes, F (1, 484) = 2.62, p = .106, η 2 p = .005.
However, this difference was only marginally statistically significant (Whole Model F (2,15) = 2.20, P = 0.14; Pollen treatment: F (1,1) = 4.10, P = 0.06) and this was most likely the result of the reduced sample size and high variance.
25 The treatment effects remain similar in both direction and magnitude after controlling for the consensus effect, although the estimates for treatment GA are now statistically insignificant in column (3) and marginally statistically significant in column (4) ( p values = 0.146 and 0.085, respectively).
Factors with at least marginally statistically significant ( p < 0.15) associations in univariate analyses were initially included in the multivariable model.
A second multivariable logistic regression model (full model) was then conducted by also including attitudinal and behavioral variables as candidate variables that showed marginally statistically significant association with the outcome variable (p < 0.15) in unadjusted analyses (see Table 4 ).
However, temperature overall was only a marginally statistically significant predictor of all-cause deaths after adjustment for other covariates ( p -value = 0.17).