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Statistical Issues in Longitudinal Data Analysis for Treatment Efficacy Studies in the Biomedical Sciences  Chunyan Liu, Timothy P Cripe, Mi-Ok Kim  Molecular.

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Presentation on theme: "Statistical Issues in Longitudinal Data Analysis for Treatment Efficacy Studies in the Biomedical Sciences  Chunyan Liu, Timothy P Cripe, Mi-Ok Kim  Molecular."— Presentation transcript:

1 Statistical Issues in Longitudinal Data Analysis for Treatment Efficacy Studies in the Biomedical Sciences  Chunyan Liu, Timothy P Cripe, Mi-Ok Kim  Molecular Therapy  Volume 18, Issue 9, Pages (September 2010) DOI: /mt Copyright © 2010 The American Society of Gene & Cell Therapy Terms and Conditions

2 Figure 1 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. Molecular Therapy  , DOI: ( /mt ) Copyright © 2010 The American Society of Gene & Cell Therapy Terms and Conditions

3 Figure 2 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. Molecular Therapy  , DOI: ( /mt ) Copyright © 2010 The American Society of Gene & Cell Therapy Terms and Conditions

4 Figure 3 Simulation results for the power.
Molecular Therapy  , DOI: ( /mt ) Copyright © 2010 The American Society of Gene & Cell Therapy Terms and Conditions


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