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Table 2 presents the bivariate analysis to establish the relationships between human rights observance and its explanatory variables.
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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 univariate and bivariate analyses to describe the magnitude and pattern of abuse in the sample and bivariate analysis to identify risk factors for abuse.
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 first performed bivariate analysis to determine parental and pregnancy characteristics associated with birth outcomes.
First, we performed bivariate analysis to determine which independent variables would distinguish participants who had vaccinations.
A bivariate analysis will be performed to establish if there are any differences in the diagnostic error variables based on the heuristics identified and the independent variables.
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