Response: Epileptic discharges in acutely ill patients investigated for SARS‐CoV‐2/COVID‐19 and the absence of evidence

By merely increasing the sample size of the prior ten‐fold, while maintaining the same proportion of subjects with EDs over the total size (ie, from 1/6 to 10/60), and leaving the posterior (COVID‐19‐positive) dataset unchanged, both the simple sequential (SS) Bayesian A/B test and Fisher's exact test provide some level of statistical significance. 1 FIGURE. Re‐evaluation of the statistical significance of the difference in the rates of epileptiform discharges (EDs) observed in the EEGs of acutely ill COVID‐19‐negative (Group 1, 16.7%) vs COVID‐19‐positive (Group 2, 40.9%) patients, considering different sample sizes of the prior (Group 1) distribution. The Bayesian A/B test was done using the JASP software (https://jasp‐stats.org) and Fisher's exact test using JMP version 10.0.0 (SAS Institute Inc, Cary NC, USA) However, extrapolating findings from small‐sample exploratory studies of new patient populations, like our study, to larger populations without collecting real data is hard to recommend.