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On the bivariate analysis, we observed that better physical- and emotional-role, social functioning and vitality as well as lesser pain symptom on SF-36 (score ≥50) were related to a better patients' survival.
Most importantly, even though in bivariate analysis we observed that children with TatCC were more likely to have higher plasma VL and were more likely to have received sdNVP for PMTCT (p = 0.041) compared to children with TatCS, we were only able to include plasma VL and not PMTCT in the multivariate model.
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For bivariate analysis, we included the trait TG as well.
After bivariate analysis, we conducted a multivariable analysis.
After bivariate analysis, we conducted a multivariable analysis using forward selection techniques.
For bivariate analysis, we computed odds ratios and confidence intervals using the trend chi squared test.
In a bivariate analysis we found no significant gender differences regarding the total number of diseases.
Using bivariate analysis, we summarized GM TBHg concentrations by covariate, and participant characteristics by hepatitis status.
In bivariate analysis, we used χ test and Fisher's exact test for categorical variables.
In the bivariate analysis we will investigate the diagnostic accuracy of single symptoms and signs.
Using bivariate analysis, we compared a number of environmental characteristics between the two racial groups.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com