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Results: In bivariate logistic regression analysis, all variables were significant predictors.
In bivariate logistic regression analysis, the odds ratio (OR) for having EDS was higher among migraineurs than non-migraineurs, and the OR for EDS increased with increasing headache frequency (Table 4).
In the bivariate logistic regression analysis, three variables were associated with MDR as compared to susceptible TB (see Table 2).
The bivariate logistic regression analysis demonstrated that BMI of 30 39.9 was significantly associated with HSV1 infection [unadjusted OR = 1.74 (95% CI 1.20 2.51), p = 0.006].
Bivariate logistic regression analysis was used to assess the association.
Associations of patient characteristics with ECA were assessed using a series of bivariate logistic regression analysis.
Second, bivariate logistic regression analysis of region of residence with the misconception variable was conducted.
Bivariate logistic regression analysis was used to identify factors associated with awareness of obstetric danger signs.
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.
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The analysis was carried out at three levels of descriptive, bivariate and logistic regression analysis.
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