Sentence examples for multivariable models showed from inspiring English sources

The results were similar to those in men, although the multivariable models showed a marginally significant decrease in the MRR of area-level stress.

Figure 2 shows the breastfeeding proportions observed in each PCT plotted against the breastfeeding proportion that would be predicted based on the multivariable models shown in tables 2 and 3.

The results from the multivariable models show that Nurses were less likely to use a computer (OR=0.32; 95% CI=0.13 0.77; p=0.011) or mobile device (OR=0.18; 95% CI=0.06 0.55; p=0.003) to access information related to their work as compared to medical officers after adjusting for all the covariates (Table 2).

All variables in the multivariable model showed VIF < 2, suggesting no collinearity.

The multivariable model showed that APACHE IV scores, plasma lactate levels and arterial pH significantly confounded the relationship between the group stratification and in-hospital mortality (Additional file 1: Table E4).

The multivariable model showed a c-statistic of 0.66 (95% CI: 0.64 0.68) and very good calibration (Hosmer Lemeshow χ=7.63, P-value=0.57).

The multivariable model showed a lower L/N ratio (p < 0.001) and an absence of extranodal growth pattern (p = 0.05) to be independent predictors of longer DFS.

The multivariable model showed that patients with low health literacy have significantly higher anxiety levels than people with adequate health literacy.

Multivariable modelling showed the frequency of DKA was inversely associated with gross domestic product, latitude and background incidence of type 1 diabetes.

Multivariable modelling showed that decreased health-related quality of life (HRQL) was associated with increased age, female gender and increased body mass index.

Variables included in the final multilevel multivariable model showed either statistical significance (α ≤ 0.05), or evidence of acting as a confounding variable (20%% or greater change to other statistically significant model coefficients when removed).