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Allele types were turned into numeric variables in the RFA due to computational limitations.
Its features are especially suited to building models over text data, but it also supports numeric variables.
For numeric variables, the mean value during follow-up was calculated.
Mann-Whitney U-tests were used for numeric variables.
Student's t tests were used for numeric variables.
Descriptive analysis of numeric variables was performed using measures of central tendency and dispersion.
A comparison of variables between males and females and was performed using the Independent t test for numeric variables and the chi-square (χ2) test for non-numeric variables.
Mann-Whitney U-test was used to analyze numeric variables; Fisher's exact test was used to analyze nominal variables.
The percent of categories (for dichotomous variables) and mean ± standard deviation and range (for numeric variables) were presented.
Numeric variables are expressed as means ± s.e.m.m
Numeric variables were transformed into tertile categories.
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