2.3. Statistical Analyses
REGRESSION
All analyses were performed using SAS 9.4 (SAS, Cary, NC, USA). Continuous variables were summarized using median and interquartile range and compared between participants who re-engaged vs. did not re-engage a using Wilcoxon rank sum test. Categorical variables were summarized using frequency and percentages and compared by re-engagement status using Fisher’s exact test. A multivariable logistic regression model to determine correlates of re-engagement (outcome referent = did not re-engage) was created, which included any independent variable of interest found to be associated with re-engagement in the univariate statistics using a cut-off of 