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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.
The relationship between in-hospital mortality and determinants was analyzed using multivariable logistic regression analysis.
The association between prepayment systems and EMS use was analyzed using multivariable logistic regression.
Statistical analyses were performed using multivariable logistic regression models accounting for herd clustering.
Associations between urban/rural injury location and mortality were assessed using multivariable logistic regression, controlling for potential confounders.
"Alive and without ventilator ≥20 days within the first month" and "ARDS" were analyzed using multivariable logistic regression analysis.
The associations of different drug/drug categories, restraint use and mortality were analyzed using multivariable logistic regression with odds ratios reported with 95%% confidence intervals.
The aim of the present study was to estimate risk indicators and the prevalence of clinical attachment loss using multivariable logistic regression.
A sensitivity analysis using multivariable logistic regression of baseline factors associated with VS at 12 months was performed, to assess if results were consistent.
More suggestions(15)
using multiple logistic regression
using multivariable logistic analysis
using multivariable logistical regression
using multivariable hierarchical regression
using binary logistic regression
using univariate logistic regression
using ordinal logistic regression
using multivariable spatial regression
using separate logistic regression
using polytomous logistic regression
using hierarchical logistic regression
using univariable logistic regression
using multinomial logistic regression
using ordinary logistic regression
using standard logistic regression
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