Sentence examples for bivariate analysis to determine from inspiring English sources

We first performed bivariate analysis to determine parental and pregnancy characteristics associated with birth outcomes.

We used bivariate analysis to determine associations between symptoms and a-priori-defined participants' characteristics.

First, we performed bivariate analysis to determine which independent variables would distinguish participants who had vaccinations.

Univariate analysis was performed to characterize the sample, followed by bivariate analysis to determine the relationship between dependent and independent variables.

We used bivariate analysis to determine associations between adherence and various independent factors using STATA 10.0 statistical software (Stata, College Station, TX, USA).

To perform bivariate and multivariate analysis to determine the risk for NI linear generalized models with Poisson family and log link adjusted values for age, sex and PO condition were used.

Variables found to be significant in the bivariate analysis were fitted to multivariate analysis to determine the main predictors.

The factors with p values, not greater than 0.25 in bivariate analysis were considered for multivariate analysis to determine the factors associated with adherence and assess for confounding and statistical interaction.

These included bivariate (chi-square) and multivariate (logistic regression) analysis to determine correlates or predictors of adherence.

Sociodemographic, housing, and behavioral variables with a P value ≤ 0.10 obtained in the bivariate analysis were included in a multivariate analysis to determine their association with Leptospira seropositivity.

Variables found significant (p value ≤ 0.05) on bivariate analysis was included in multiple logistic regression analysis to determine the effect of various factors on the outcome variable and to control confounding effect.