“almost significant”

The selected covariates were the significative variables in the bivariant analysis (hypertension and triglycerides, dyslipidemia, Non-HDL-C, and statins/ezetimibe treatments were not included due to the high correlation with the triglycerides) or almost significant variables ( p < 0.1; age, SLE disease length).

Parameters that were significant or almost significant ( p < 0.10) in univariate analysis were compared in multivariate analysis.

This improvement was almost significant for the trained condition (Interaction F (1,42) = 2.8, p = 0.1, partial η 2 = 0.06).

Notably, changes in plasma levels of total cholesterol (−0.60 mmol/L) and triglycerides (−0.26 log[mmol/L]) were almost significant (0.05< P <0.10).

Indoor air bacterial communities reveal almost significant differences compared to those of floor dust (0.05< p <0.1).

The variables that, for each hypothesis, showed a significant ( p < 0.05) or almost significant ( p < 0.1) influence on sett use pattern, were included in overall models (combined hypothesis), that postulated that the pattern of sett use is determined by a combination of drivers linked to distinct ecological/environmental processes (vegetation, soil, food, disturbance or competition).

All the hypothesized predictors and other variables that were significant or almost significant (p < 0.10) in the univariate analyses were added one by one to the multivariate analyses and included in the multivariate model if they were significant.

The results remained statistically significant ( p < 0.05) for the responses in the expression of MMP-3, MMP-13, IL-6, NO, iNOS and COX-2, and almost significant for response in the expression of MMP-1 ( p = 0.10) in the ANOVA modeling after controlling for intergel variation, BMI and age.

Variables that were significant or almost significant (p<0.10) predictors in univariate models were introduced into the models.

Compared to unvaccinated girls, those vaccinated against HPV were more likely to report worrisome thoughts about vaccination and the difference was almost significant (crude OR: 1.74, CI: 0.90–3.23; p = 0.10).

Other variables that were almost significant ( p < 0.1), namely, soil pH, total nitrogen content, and mean annual temperature, explained 5.8% of the RBAI variability.

The sFLT-1 isolated value showed an almost significant increase in the diagnosis week for FGR only (PCC −0.38; p < 0.10).

When leaving out coresident children (Model 2), the effect becomes smaller (11%), although it is still negative and almost significant ( p < .10).

VF measures, reflux, and venous diameter No significant statistical differences were found in the VF rate in the deep veins (CFV, FV and popliteal veins [PVs]), except in the left femoral vein (LFV) where almost significant differences were observed ( P < .10).

In Model 3, the interaction coefficient between gender and autonomy ( B = 0.258, SE = 0.159, W = 1.62), and the likelihood ratio test with Model 1 (LRT = 2.7 (1)) were almost significant, with p < 0.10.

Almost significant differences ( P < 0.10) were found between the symptom score means at the time of treatment, and the post-treatment score was lower.

, 2017) (likelihood ratio test, P < 0.05), while in NSCLC the association was almost significant ( P < 0.1).

In this model, presence of a warm temperate climate on the national territory and DTP vaccination coverage were also found as almost significant (p<0.1).

Independent variables that were significant or almost significant ( p < 0.10) factors in the univariate models were introduced into the multivariate models.

Multivariate logistic regression model The significant variables except FFP transfusion and some almost significant variables (p < 0.1) from the univariate analysis (peripheral arterial disease, preoperative hemoglobin level, duration of operation, duration of bypass, postoperative intraaortic balloon counterpulsation) were included in the multivariate logistic regression analysis.

showed a reduction in risk of Alzheimer’s disease in rheumatoid arthritis patients on prednisone [ 7 ]; unadjusted the effect is almost significant ( p = 0.1).

To eliminate the bias caused by clinical variables which substantially varied between investigated and control groups, multiple regression Cox proportional hazards model was used considering only those variables which were significant or almost significant ( p < 0.1) in single regression model.

the least significant variable was dropped, one at a time, until only statistically significant or almost significant effects ( P <0·10) were left.

In agreement with this finding, the imaging index virtually preserved its capability to predict the response to treatment in patients with the highest increase in PSA after Ra223 administration, as suggested by the almost significant p value ( p = 0.1 in each subgroup, see also Figure 4 ) and the emblematic example reported in Figure 5 . 4.

For April 2019 and July 2019, respectively, a significant (p< 0.01) and an almost significant (p<0.1) relationship between chlorophyll-a concentrations (mg CHLa m -2 ) with the normalised difference vegetation index (NDVI) was found ( Table 7 ).