The association between sociodemographic characteristics and each diagnostic grouping was assessed using multivariable analysis to take into account potential confounding by explanatory factors using complete case analysis.
We investigated six possible risk factors for liver damage by using multivariable logistic regression analysis (Table 4).
Other variables were assessed as independent predictors of selected pulsotype categories by using multivariable logistic regression analysis.
We identified independent risk factors for the adverse renal outcomes that were categorized according to the tumor size after nephrectomy by using multivariable logistic regression analysis (Table 4).
By using multivariable logistic regression analysis, odds ratios (ORs) with a corresponding 95% confidence intervals (CI) were calculated to quantify the association of mental and physical health scores with adherence to dietary patterns.
By using multivariable logistic regression analysis (with appropriate terms for interaction), OR with a corresponding 95% CI were calculated to quantify the association of income or education levels with adherence to MD-like eating scores or obesity.
One can perform a sensitivity analysis by using a multivariable analysis to adjust for hypothesized residual baseline imbalances to assess their impact on effect estimates.
Using multivariable logistic analysis, we measured variations in condom counselling by provider characteristics.
The data will be assessed by using a multivariable analysis.
Persistence was evaluated using multivariable survival analysis techniques.
