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Figure 1B illustrates the multivariable effect of insurance status.
Figure 1A illustrates the multivariable effect of race for prediction of high-volume hospital utilisation.
Finally, in figure 1C, the multivariable effect of ZIP code income is shown.
In the third column, we present the multivariable effect of these covariates on channeling between initiating glargine and NPH (i.e., results from the propensity score model).
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Subsequent analyses looked at mutually adjusted (multivariable) effects of the significant risk markers on survival (Table 4).
Multivariable effects of cytokines/chemokines were examined while considering adjustments for other relevant risk factors without model overfitting.
We used the Cox regression to study the univariable and multivariable effects of the IGCC risk factors on the overall survival, expressed as Hazard ratios and regression coefficients.
In multivariable analysis, the effect of the RD-score for mortality disappeared.
After multivariable adjustments, measurable effect of insulin resistance was somewhat attenuated but remained significant.
After controlling for age at cancer diagnosis, sex, cancer site, clinical stage, smoking status, and alcohol consumption at baseline (in multivariable HR1), the effect of extraversion on risk of death was basically unchanged (HR, 0.8 (95% confidence intervals (CI =0.4 1.7); Linear trend P=0.33).
We have previously shown with the Young Finns data that in univariate models, childhood vegetable consumption and fruit consumption frequency are inversely associated with carotid artery intima-media thickness progression in adulthood, and in a multivariable model, the effect of childhood fruit consumption remained significant (15).
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