Sentence examples for bivariate logistics regression analysis from inspiring English sources
A significant difference on the knowledge of respondents among different groups of age, educational status, occupation, monthly household income, parity, knowing someone with cervical cancer and visit to a health institution was detected during the bivariate logistics regression analysis.
Results: In bivariate logistic regression analysis, all variables were significant predictors.
In the bivariate logistic regression analysis, three variables were associated with MDR as compared to susceptible TB (see Table 2).
Bivariate logistic regression analysis was used to assess the association.
The variables with P-value less than 0.25 in bivariate logistic regression analysis were nominated for multivariate logistic regression analysis.
Associations of patient characteristics with ECA were assessed using a series of bivariate logistic regression analysis.
Bivariate logistic regression analysis was used to identify factors associated with awareness of obstetric danger signs.
Second, bivariate logistic regression analysis of region of residence with the misconception variable was conducted.
Table 2 provides a summary of the statistically significant results of bivariate logistic regression analysis.
Bivariate logistic regression analysis was used to evaluate the effects of other categorical variables on depression.
However, no positive association was observed using bivariate logistic regression analysis.
