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A bivariate analysis was performed, using Chi2, ROC curve and relative risk.
A bivariate analysis was performed using non-parametric tests and multiple logistic regression with the aim of obtaining a model adjusted to severity.
Following this, a bivariate analysis was performed using contingency tables and Pearson's chi-square test to identify possible differences between proportions and possible confounding factors.
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Bivariate analysis was performed using Student t test, Wilcoxon rank sum test, and Pearson's test as appropriate for continuous and categorical variables.
Bivariate analysis was performed using Pearson's correlation coefficients.
The bivariate analysis was performed using chi-square test and Student t-test.
Bivariate analysis was performed using Chi-square test for categorical variables.
The bivariate analysis was performed using gamma regression model between the IMT and the variables analyzed.
Bivariate analysis was performed using these new variables without any change in the initial categories of the other variables.
As a first step to explore factors associated with patients' views of participation, a bivariate correlational analysis was performed, using Spearman's rho correlation coefficient.
Bivariate correlation analysis was performed using Spearman's rho correlation coefficient for nonparametric distributions.
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