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The variables with p value less than 0.5 in the bivariate analysis were entered to the multivariate model using the enter regression method.
All of the independent variables with a P-value <0.25 in bivariate analysis were entered into the multiple logistic regression models.
Variables which showed significant association in the bivariate analysis were entered into multivariate logistic regression.
All variables with P < 0.05 in the bivariate analysis were entered into the multivariate models.
Factors with p < 0.05 in bivariate analysis were entered in a multivariate comparison.
All factors considered at bivariate analysis were entered into a logistic regression model.
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Explanatory variables found to be statistically significant in bivariate logistic regression analysis were entered into multiple logistic regression analysis (backward stepwise method) for adjustment of confounders.
Variables significantly associated with fecal incontinence in bivariate logistic regression analysis were entered as categorical variables in the multivariable logistic regression analysis.
All variables tested in the bivariate logistic regression analysis were entered into multivariate analyses if they have p-value of ≤0.2.
The three sets of independent variables (socio-economic, maternal and environmental factors) that showed significant association in the bivariate logistic regression analysis were entered in multiple logistic regressions analysis using backward stepwise method.
Variables significant in the bivariate analysis were then entered into a multiple logistic regression analysis.
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