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Activity Number:
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547
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 6, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #305143 |
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Title:
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Prediction of Fracture Risk Based Upon Baseline Characteristics
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Author(s):
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Kyoungah See*+
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Companies:
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Eli Lilly and Company
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Address:
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Drop Code 6132, Faris Campus II, Indianapolis, IN, 46225,
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Keywords:
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Fracture ; Risk ; Precdiction
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Abstract:
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In this study, we propose a model in order to predict risk of incidence of new fractures, based upon known baseline characteristics. We propose a predictive model in which result an improved prediction. An example also shows a sensitivity and a specificity of the model.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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