Sentence examples for bivariate analysis were incorporated from inspiring English sources

Variables with p < 0.1 in bivariate analysis were incorporated into Logistic regression model for risk adjustment.

Explanatory variables with a p-value < 0.20 in the bivariate analysis were incorporated into the multivariate model.

Variables with a p-value < 0.20 in the bivariate analysis were incorporated into the multivariate models and those with p-value < 0.05 remained in the final model.

The use of ASA was the dependent variable, and all significant variables observed in the bivariate analysis were incorporated into the models as independent factors.

Covariates significant at p < 0.05 in bivariate analysis were individually incorporated, ordered by strength of the bivariate correlation.

Descriptive statistics and bivariate analysis were used to assess the data.

All variables with p-values < = 0.25 in bivariate analysis were included in our multivariate model.

Variables with a significant association in bivariate analysis were included in a final logistic regression model.

Univariate and bivariate analysis were performed as appropriate.

Before a systematic regression analysis, some pieces of bivariate analysis are offered.

A bivariate analysis was performed, using Chi2, ROC curve and relative risk.