Analysis of continuous data
atrial fibrillation, persistent/
REGRESSION, ATRIAL FIBRILLATION
Continuous outcomes will be presented as means and SD with 95% confidence intervals (Cis). We will analyze continuous outcomes using linear regression adjusting for “site,” type of atrial fibrillation (persistent/ permanent), LVEF (≥ 40% or < 40%), and the baseline value of the score (all as fixed effects) [In the quality-of-life analysis, our primary analyses will only be of participants who are alive and able to fill out the questionnaires at the 12-month follow-up will be included. If a participant has died, he/she will not be included in this analysis. To assess the potential influence of participants who die, we will present a sensitivity analysis as a supplement where participants who die will have a value of 0 imputed for quality of life (these data will be analyzed as count data, see paragraph below).An example of continuous data is collected from the following outcome: “SF-36 questionnaire score (physical component).”