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A multivariable logistic analysis showed that of the parameters studied, C-reactive protein was the only parameter able to significantly discriminate active from inactive UC (B: 0.222; p = 0.017; odds ratio: 1.248; 95% confidence interval: 1.041 1.497).
Using multivariable logistic analysis, we measured variations in condom counselling by provider characteristics.
A multivariable logistic analysis was performed to identify factors favouring good physician practice.
Multivariable logistic analysis was applied to examine the association between the dependent and independent variables.
All explanatory variables that were found associated (p < 0.05) in the bivariate analysis were included in the multivariable logistic analysis.
The variables with the best AUC values (AUC >0.7) were used in a subsequent multivariable logistic analysis.
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Multivariable logistic regression analysis of significant parameters from univariable analysis shows pH as independent predictor.
Results from the multivariable logistic regression analysis confirmed by and large those based on bivariate analysis.
Predictors were identified by multivariable logistic regression analysis and were tested for interaction with treatment.
Farm-level risk factors were identified by multivariable logistic regression analysis.
The presence of catenoid septal morphology was independently associated with LGE in multivariable logistic regression analysis.
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