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The frequency between each categorical variable was compared by the chi-square test (χ2 test), with Yates correction or Fisher's exact test.
The association between each categorical variable and complications or mortality was evaluated using the chi-square or Fisher's exact test, as indicated.
Chi-square tests and univariate logistic regression were used to measure the association between each categorical variable and case control status.
Then, we assessed the relationship between each categorical variable (clinical and socio-demographic data) and all OUT-PATSAT35 scores (considered as dependent variables) using analysis of variance (MANOVA model).
The χ-test was used to determine the relationship between each categorical variable and D-Loop mutations, and a t-test to determine the relationship between quantitative variables and D-Loop mutations.
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The Fisher exact test was used to test for association between patient group and each categorical variable.
The association between type of treatment and each categorical variable (infection control, re-infection, and presence of patella baja) was analyzed with Fisher's exact test.
When the relationship between two categorical variables, each with only two categories, is being investigated, variations on the χtest of association are often calculated as well as, or instead of, the usual test in order to improve the approximation.
Differences between the means were tested by analysis of variance and Tukey-Kramer honestlyesignificanticant difference) test between each group, and categorical variables were compared using the χ test or Fisher's exact probability test.
Both tests evaluate the strength of the association between two categorical variables.
Chi square tests were performed to test for any unadjusted associations between self-rated health and each categorical independent variable.
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