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A bivariate analysis to ascertain potential factors associated with drug-drug and drug-disease interaction was performed using the chi-square test for categorical variables.
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We first performed bivariate analysis to determine parental and pregnancy characteristics associated with birth outcomes.
We used bivariate analysis to determine associations between symptoms and a-priori-defined participants' characteristics.
First, we performed bivariate analysis to determine which independent variables would distinguish participants who had vaccinations.
We also used bivariate analysis to examine associations with socioeconomic indicators (Table 3).
We used bivariate analysis to estimate odds ratios (ORs) with 95% confidence intervals (CIs).
We used analysis of variance for bivariate analysis to explore associations and potential confounders.
After bivariate analysis to test the hypotheses using Pearson correlation, we performed multiple regression analysis.
We used bivariate analysis to compare adults hospitalized with influenza with and without pneumonia.
We performed bivariate analysis to examine associations between child's disease severity status and potential predictors.
We used univariate and bivariate analyses to describe the magnitude and pattern of abuse in the sample and bivariate analysis to identify risk factors for abuse.
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