Statistical analysis methods
PFO, epilepsy
REGRESSION, SECONDARY, EPILEPSY
The demographic characteristics of PRE receiving PFO closure and those not receiving it will be compared to assess bias and ensure accurate representation of the participants. Primary and secondary outcomes will be described statistically using mean ± standard deviation, median, minimum, maximum, and other indicators. Categorical data will be described using frequencies and percentages.The primary outcome of the trial will be analyzed using a mixed model of fixed and random effects, and factors with significant differences between the baseline datasets will be incorporated into the model as control variables. Additional analyses will include t-tests, chi-square tests, rank-sum tests, logistic regression, and propensity score matching to examine the secondary outcome indicators. Covariance analysis and mixed-effects models that consider the effect of time will be used to examine temporal trends in the clinical characteristics of epilepsy. All analyses will be performed using R-project version 4.2.1. Statistical significance will be set at two-sided p < 0.05.