Sentence examples for bivariate analyses were selected from inspiring English sources

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.

Potential confounders/other risk factors for the bivariate and multivariate analyses were selected by testing for all other possible risk factors using χ2 tests (categorical variables) and retaining the one in each domain that was the most significant predictor for conviction for a violent crime.

Second, bivariate analyses were done for the independent variables with the outcome variable to select candidate variables for the multivariable analyses.

Bivariate analyses were conducted to identify significant associations among variables.

Bivariate analyses were completed to assess the relationship between radiographic findings and IAN injury.

Simple descriptive and bivariate analyses were performed.

Descriptive and bivariate analyses were completed.

Bivariate analyses were performed by cross tabulations.

Bivariate analyses were conducted to make the comparisons.

Descriptive and bivariate analyses were done as preliminary data analysis.