Sentence examples for bivariate analyses we observed from inspiring English sources

In bivariate analyses, we observed relatively little difference in secure messaging (any use or intensity of use) by level of glycemic control.

Though adiponectin levels were not correlated with BMI in either ethnic group or in the population as a whole in the bivariate analyses, we observed a negative association between adiponectin levels and waist circumference in the non-Latino group but not in the Latino group.

In bivariate age-adjusted analyses, we observed a statistically significantly increased risk for MHT use >0 to <5 years for prevalence (OR 1.52) as well as for frequency (IRR 4.56) but not for MHT use ≥5 years.

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 bivariate analyses, we classified participants into 4 sleep duration categories: ≤ 4, 5-8, 9, and ≥ 10 hours, respectively.

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.

To adjust for possible covariates that may have confounded the effects observed in the bivariate regression analyses, we also performed multiple regression analyses.