(Figure 2). After removing the observations where simulated power was 1.0, we had a total of 504 observations and the CCC between simulated study power and EEE approximated power was 0.9939 (95% CI 0.9927 – 0.9948) and Pearson correlation coefficient was 0.9941. Table 2 provides the summary statistics of PPD and APPD. The mean APPD was only 1.8976% showing the extreme concordance between EEE power and what would have been obtained by simulation. Also, discordance of greater than 10% between EEE power and simulated study power occurred at only 3 observations. We also evaluated the effect of α level changes in both directions, larger to smaller (e.g., when available study power is given for an α level of 0.05 and an investigator wishes to calculate power at an α level of 0.01) or smaller to larger (e.g., when available study power is given for α level of 0.01 and an investigator wishes to calculate power at an α level of 0.05). Figures 3 and 4 depict comparisons of power between EEE approximated power versus simulated power values for these two scenarios. A total of 208 data-points from 5 published studies [3, 5, 11, 18, 20] are included in Figures 3
