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The relationship between ICU outcomes, glucose control and insulin dose was modelled using multivariable logistic regression.
Sixteen covariates were evaluated for their prognostic significance and modelled using multivariable competing risks regression to predict 3-year outcomes as part of a nomogram.
It therefore appears that the actual status may be more predictive than expectations per se when satisfaction or global outcome is modelled using multivariable techniques.
In-hospital major complications were modelled using multivariable logistic regressions that either included the actual weight and height or HMD-recorded obesity.
Continuous outcomes will be modelled using multivariable linear regression and dichotomous outcomes will be modelled using multivariable logistic and log-linear regression methods.
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Predictive models used multivariable logistic regression.
We modelled screening using multivariable logistic regression.
The relation of hypertension, diabetes, heart disease, stroke, medication usage, and APOE ε4 to dementia was modelled using adjusted multivariable logistic regression.
Analyses were performed using multivariable logistic regression.
Strengths of associations are determined using multivariable logistic regression.
*Adjusted prevalence ratios estimated using multivariable logistic regression followed by marginal standardization.
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