Sentence examples for bivariate analysis was tested from inspiring English sources

Statistical significance in the bivariate analysis was tested by the χ test.

In addition to age and sex, the following variables that were significant in bivariate analysis were tested in the multivariate regression: number of comorbid conditions; number of medications; length of stay; ADL score (1 4); IADL score (1 4); communication; mood; and cognitive problems.

Those independent variables with P < 0.2, based on a bivariate logistic analysis, were tested further in a multiple logistic regression model.

Bivariate analysis was performed to test the relationship between dependent and independent variables at P<0.05.

Initial univariate analysis was conducted to describe demographic variables (Appendix Table 1) Bivariate analysis was based on χ test (or Yates correction to the χ test where appropriate) of several potential predictors of RVFV seropositivity (Appendix Table 1) as well as bivariate comparisons between villages (Appendix Table 2).

Bivariate analysis was done using Chi-square test statistics to test association between two categorical variables.

Bivariate analysis was performed using Student t test, Wilcoxon rank sum test, and Pearson's test as appropriate for continuous and categorical variables.

Bivariate analysis was performed between HIV test of the woman as the dependent variable and each independent variable.

Bivariate analysis was used to examine the association between various variables using Chi-squared tests and Analysis of Variance (ANOVA).

Bivariate analysis was done with chi-square test or Fisher's exact test to compare proportions for categorical variables.

A bivariate analysis was done using chi square test and Fisher's exact test, with a significance level of 5% and a 95% confidence interval, in order to analyze the relation between the variables and risk factors for syphilis.