Sentence examples for bivariate level were inserted from inspiring English sources

The variables found to be significant at the bivariate level were inserted as independent variables in two generalized linear models with groups as dependent variables (see Table 4, 5).

The covariates that were nonsignificant at the bivariate level were removed first, followed by the significant variables.

All variables significant at the bivariate level were considered for a logistic regression model.

Predictors that were significant at the bivariate level were then entered into MPlus to test multivariate models.

Factors that proved to be significant at the bivariate level were considered for a multivariate logistic regression analysis.

When controlling for covariates, factors that were significant at the bivariate level were adjusted for in the model.

Factors that proved to be significant at the bivariate level were considered for a multivariable logistic regression analysis.

Variables that were significant (p < 0.01) at the bivariate level were considered for inclusion in the multivariable analyses.

Logistic regression for S-ECC including variables associated at the bivariate level was also performed.

Variables associated with CSE behaviour at the bivariate level are presented in Table 3.

Demographic, clinical and psychological variables associated with SSE behaviour at the bivariate level are presented in Table 2.