Sentence examples for bivariate analyses we selected from inspiring English sources

For bivariate analyses, we selected two popular methods: FBAT-GEE [10] and FBAT-PC [9], which are implemented in the programs FBAT [24] and PBAT [25], respectively.

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.

Variables that were statistically significant at a 0.05 p-value level in bivariate analyses were selected for the final multivariable model by use of backwards elimination if they did not remain significant.

All explanatory variables with P < 0.25 in bivariate analyses were selected for multivariate analyses.

Table 2 shows the results of bivariate analyses for selected covariates.

Table 2 shows the prevalences of smoking cigarettes, bidis and any of the two (obtained from bivariate analyses) by some selected variables in the urban slum areas.

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.