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A bivariate analysis was made using McNemar's χ2 test for matched categorical variables.
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At bivariate level, analysis was made by the chi square (X) test for categorical variables.
Logistic regression analysis was made in the cases where bivariate analysis showed significative differences.
Descriptive statistics, analysis of variance (one-way) ANOVA, bivariate correlation, and regression analysis were made on recorded data by testing significance differences at p < 0.05 using SPSS 16.0.
Bivariate analysis was first made and the variables with a p-value less than 0.25 were considered for subsequent model building.
A bivariate analysis was performed, using Chi2, ROC curve and relative risk.
A bivariate analysis was performed, and Pearson chi-square calculations was used.
A bivariate analysis was first conducted to determine which factors would enter the initial multivariate model.
Bivariate analysis was done using the Chi Square test.
Bivariate analysis was performed using Pearson's correlation coefficients.
Bivariate analysis was performed with Pearson's linear correlation.
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