*Odds ratios and P values determined by multivariate logistic regression model including variables with bivariate logistic regression P-value < 0.2 (age ≥ 65, nephrolithiasis, abdominal malignancy, and other ‡).
Statistical significance was tested using bivariate logistic regression with p-values of less than 0.05 taken to be significant and incorporated into a multiple logistic regression model.
All variables associated with khat use in the bivariate logistic regression with a p-value of less than 0.25 were entered together into a multivariable logistic regression in order to control for confounding.
Independent variables which had association with the outcome variable in the bivariate logistic regression and those with P value of <0.2 were considered candidate for the final logistic regression model.
In the remaining 17.4% (n = 387) of biopsies performed in patient ≥ 70 years of age, the bleeding rate was 1.8% (n = 7) representing an increase of 2.6 times at bivariate logistic regression (OR = 2.60; 95%-CI [1.03-6.54]; p = 0.04).
All variables which on bivariate logistic regression analysis had an association with hydronephrosis with P-value less than 0.2 were included in the multivariate model.
Variables with P < 0.05 from the bivariate logistic regression were included into the multivariable models.
We used bivariate logistic regression to calculate odds ratios; 95% CIs; and p values, which were set at 0.05 to determine significance for factors associated with HEV prevalence.
All factors with a p-value <0.2 in the bivariate logistic regression analysis were further fit to multivariate logistic regressions for better prediction of determinants.
All factors with a p-value <0.2 in the bivariate logistic regression were entered into the multivariate model.
