Abstract
The focus of this chapter is on visualization of QT data for thorough QT (TQT) study analysis and review. The use of graphics is particularly important for QT data due to the high variability and to explore the adequacy of heart rate QT correction, baseline adjustments, choice of positive control to establish assay sensitivity, and the relationship between exposure and QT prolongation. A QT knowledge management system implemented in the R package “QT” standardizes and automates the QT data analyses, graphical representation, and reporting. This allows for easier communication of the results because the analyses are consistent and enables pooled data analysis across TQT studies to address drug development related questions.
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© 2012 Springer Science+Business Media, New York
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Tornøe, C.W. (2012). Visualization of QT Data for Thorough QT Study Analysis and Review. In: Krause, A., O'Connell, M. (eds) A Picture is Worth a Thousand Tables. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-5329-1_16
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DOI: https://doi.org/10.1007/978-1-4614-5329-1_16
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