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Predictors were analyzed using bivariable and multivariable logistic regression models.A total of 23 (16%) of 150 subjects reported incomplete adherence.
We compared attack rates (AR) in exposed and unexposed persons, using bivariable and multivariable logistic regression modelling.
The significance of the factors associated with S. mansoni infection in the school children was determined using bivariable and multivariable logistic regression model reporting the odds ratio at 95%CI.
The Outcome data will be analysed using bivariable and multivariable analyses.
We used bivariable and multivariable regression analysis to assess the association of risk game choices with malaria care-seeking behaviors and RDT acceptability.
Variables with P < 0.1 in univariable analyses were advanced into a multivariable regression analysis, using the forward stepwise (Wald) method to avoid overcorrection.
Thus, we performed a multiple linear regression analysis, using a stepwise method.
Data were analysed using both bivariable and multivariable methods.
We used bivariable and logistic regression analyses to study the association of PPCs with ventilatory and other perioperative variables.
Univariable analysis using non-parametric methods and multivariable regression analysis were performed to identify the factors associated with total hospital charges and LOS.
Logistic regression analysis was used for bivariate and multivariable analysis.
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