Sentence examples for bivariate logistic regression models from inspiring English sources

Univariate analyses were performed using χ tests and unadjusted (bivariate) logistic regression models.

The association between possible predictors and malaria was assessed by using bivariate logistic regression models.

*Indicates statistical significance for those categories or variables that predict sexual behaviour outcomes in bivariate logistic regression models.

In our individual-level data analysis, we first turn to outcomes of a series of bivariate logistic regression models.

To assess whether the HRD-Mean score adequately captured the BRCA1/2 deficiency information of its three components, we tested three bivariate logistic regression models.

We used bivariate logistic regression models to assess relationships between the outcome variable and each independent variable by place (Table 4).

A bivariate logistic regression model [38] was fitted to the data with Type of Source Word (CVV or CV first syllable), First Syllable Duration (75, 100, 125, 150 , 175ms), Second Syllable Duration (50, 100), and Type of Tone (High, Fall) as predictors and the binary response (short, long) as the dependent variable.

The multivariate model was built after fitting the bivariate logistic regression model for all explanatory variables.

We used a separate bivariate logistic regression model for newly diagnosed asthma.

The bivariate logistic regression model, utilizing the Chi-square test, identified a significant effect of KPC on mortality (p = 0.050).

We calculated odds ratios using a bivariate logistic regression model to explore the strength of the relationship.