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Activity Number:
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419
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #309769 |
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Title:
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Statistics in Translational Medicine
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Author(s):
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Dennis Cosmatos*+ and Shein-Chung Chow
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Companies:
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Wyeth and Duke University
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Address:
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500 Arcola Rd, Collegeville, PA, 19426,
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Keywords:
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Translational Medicine ; Translational Science ; One-way Translation ; Two-way Translation ; Predictive modeling ; Lost in translation
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Abstract:
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Pizzo(2006) defines translational medicine as bench-to-bedside research where in a basic laboratory discovery becomes applicable to the diagnosis, treatment or prevention of specific diseases and is brought forth by either a physician-scientist who works at the interface between the research laboratory and patient care or by a team of basic and clinical science investigators. Statistics plays an important role in translational medicine to ensure that the translational process is accurate and reliable with certain statistical assurance. For this purpose, statistical criteria for assessment of one-way and two-way translation are proposed. Under a well established and validated translational model, statistical tests for one-way and two-way translation are derived. Statistical inference for loss in translation and for the applicability of an animal model to a human model are also discussed.
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