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In all analyses (including the bivariate analyses), we forced the inclusion of a variable for time point (6, 12, 18, 24 months) and a variable for the dust control intervention arm to account for any potential design effects of the embedded trial.
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For bivariate analyses, we used linear regression.
For bivariate analyses, we used χ tests for categorical variables.
For bivariate analyses, we compared weighted proportions using the Wald test.
In bivariate analyses, we examined the relationship between phthalate and phenol biomarkers and maternal characteristics.
For our bivariate analyses, we divided our sample at age 40 to compare younger versus middle-aged adults.
On bivariate analyses, we found an increasing burden of peripherally acting antiadrenergic agents (e.g. alpha blockers) across MOH groups.
These results are presented in table 2. Using bivariate analyses, we compared female doctors with male doctors.
In the bivariate descriptive analyses, we presented results in terms of percent improvement in agreement.
Combined with goodness of fit and bivariate normality analyses, we confirmed the robustness of our meta-analysis.
Through bivariate association analyses, we identified two distinct biomarker profiles associated with OSA in subjects with NGM and IGM.
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