Fig. 3
From: Evaluation of statistical approaches for association testing in noisy drug screening data
Power analysis for data simulated using the bivariate Gaussian family. a displays the effect of the \(\delta\) parameter on the empirical power at a fixed effect size of population r=0.3. Other statistics unaffected by the parameter are plotted for comparison. b displays the empirically observed power for the rCI statistic only, plotting the dependence on delta at 3 different effect sizes. The power is normalized as percent of maximum power achieved for each effect size to highlight the optimal region for choosing delta. c empirical power for as the population expected Pearson correlation increases. d empirical power for a varying sample size, as the effect size is modified to keep a theoretically constant power for the Pearson correlation of 0.5. Power is plotted as the percent of achieved Pearson correlation power in simulation