Figure 5
From: Fast multiple-trait genome-wide association analysis for correlated longitudinal measurements
Cross-sectional and longitudinal statistical power estimates in simulated scenarios with 0, 15, and 50% of individuals missing. In the single-trait approach, missing individuals directly impacted sample size and significantly reduced power of the phenotype with missing data, relative to the multiple-trait approach which utilized the correlation between traits to compensate for the reduction in sample size. In the simulation, the sample size with no missing records was 3000 and the LT to CS ratio was set to 1:5.
