Sentence examples for bivariate logistic regression modelling from inspiring English sources

The bivariate logistic regression modelling showed that CD4 cell count strata are a significant predictor of LAM status with an Odds Ratio (OR) of 0.45 (95% CI: 0.28-0.72; p = 0.001).

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.

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.

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

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

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.

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

In a bivariate logistic regression model, the HRD model score did not add significant independent BRCA1/2 deficiency information to the HRD-Mean score (P = 0.089).