Abstract
Graphics play an important role in understanding clinical data and the metabolic area of drug research is no exception. Challenges of early-phase clinical research include unpowered studies with small sample sizes (approximately 8–12 subjects per group), relatively short study durations, and the use of surrogate clinical endpoints or biomarkers to investigate pharmacological effects. Careful examination of individual patient data along with summary data is vital to interpreting the data. Graphical displays are the most effective means of accomplishing this goal enabling one to quickly assess effects between and within both subjects and treatments.
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SAS is a registered trademark for SAS Institute Inc. Statistical software, SAS-PC version 9.1.3
S-PLUS (version 7.0) and Spotfire (version 3.2) are statistical software from TIBCO
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© 2012 Springer Science+Business Media, New York
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Shortino, D., Walker, A., Miskell, A. (2012). Use of Graphics for Studies with Small Sample Sizes: A Simulated Case Study of an Early-Phase Asset for Treatment of Type 2 Diabetes Mellitus. 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_5
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DOI: https://doi.org/10.1007/978-1-4614-5329-1_5
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