Results: 3

1.
Figure 3

Figure 3. From: Statistical Issues in Longitudinal Data Analysis for Treatment Efficacy Studies in the Biomedical Sciences.

Simulation results for the power.

Chunyan Liu, et al. Mol Ther. 2010 September;18(9):1724-1730.
2.
Figure 2

Figure 2. From: Statistical Issues in Longitudinal Data Analysis for Treatment Efficacy Studies in the Biomedical Sciences.

Overall false positivity rate simulation results based on 5,000 simulated datasets. The panel on the right is the whole plot with all the methods under investigation where Tukey-only method shows a highly inflated overall false positivity rate. The panel on the left shows a zoomed-in bottom part of the right panel where the performance of the other methods can be better depicted.

Chunyan Liu, et al. Mol Ther. 2010 September;18(9):1724-1730.
3.
Figure 1

Figure 1. From: Statistical Issues in Longitudinal Data Analysis for Treatment Efficacy Studies in the Biomedical Sciences.

Illustration of four common variance–covariance structures. When six measurement time points are considered, the top panel illustrates the within experimental unit variances assumed at each time point under the four variance–covariance structure. The bottom panel illustrates corresponding correlation matrices among the measurement time points. Color gradients are used to show the magnitude of the variances and the strength of the correlations. The darker the color grade is, the larger the variance is or the stronger the correlation is.

Chunyan Liu, et al. Mol Ther. 2010 September;18(9):1724-1730.

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