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Data were analysed using both bivariable and multivariable methods.
Logistic regression analysis was used for bivariate and multivariable analysis.
Next, both bivariable and multivariable logistic regression analysis were conducted to further analyze data.
Table 3 shows the variables associated with ART initiation in both bivariable and multivariable logistic regression analyses.
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.
Polytomous logistic regression analysis was used to explore multivariable associations with stage of adoption in each study site.
We used bivariable and multivariable regression analysis to assess the association of risk game choices with malaria care-seeking behaviors and RDT acceptability.
The Outcome data will be analysed using bivariable and multivariable analyses.
9 15 22 23 We used logistic regression models to determine bivariable and multivariable associations of invasive bacterial disease with WHO criteria, HIV infection, fever, severe anaemia, hypoglycaemia, prostration, raised blood lactate, and recent or current malaria.
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