Fig. 5: Power simulations to calculate statistical power of Design 2-type studies.
From: Power and optimal study design in iPSC-based brain disease modelling
A–C Design 2A describes a comparison within a single isogenic pair. Simulated power curves are shown for three mean difference-scenarios. The corresponding Cohen’s d values were calculated for an iPSC-line showing low variability (SDC2 = 0.031; thick line) or high variability (SDC1 = 0.044; dashed). Corresponding Cohen’s d values: 15% mean difference: d = 0.29 (high) and 0.43 (low); 30% mean difference: d = 0.58 (high) and 0.86 (low); 50% mean difference; d = 0.96 (high) and 1.43 (low). D–G For Design 2B, a hypothetical study was simulated with three experimental groups for the high- and low-variability iPSC lines, as for Design 2A. Four scenarios were tested, comparing the impact of having a small (15%) or medium (30%) mean difference (D and E), and the impact of including two groups with the same (F) or different (G) effect sizes.
