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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.

In assessing the combined effect of neuropathological variables on functional disability, the multivariable model showed that advanced age (>84 years) and neuronal loss showed increased severe functional disability independently of each other, though other factors were still at increased risk.

Several additional modifications of the multivariable model shown in Table 3 were conducted.

Table 1 reports results of univariable (crude) and multivariable logistic regression analyses for variables within each exposure group (adjusted for state, sex, and education), and the final multivariable model showing frequency and sample size, percentages, and crude odds ratios (ORs) and aORs, together with 95% CIs.

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

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

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