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Activity Number:
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76
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Type:
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Roundtables
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Date/Time:
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Monday, July 30, 2007 : 7:00 AM to 8:15 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #308522 |
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Title:
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Building and Using Disease Prediction Models in the Real World
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Author(s):
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Heejung Bang*+
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Companies:
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Cornell University
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Address:
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411 E. 69th St., New York, NY, 10021,
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Keywords:
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risk score ; risk equation ; disease prediction ; diabetes ; kidney disease
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Abstract:
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Building risk score or prediction models is an area of mathematical/statistical modeling that can have a huge impact on patient care in real life. Accuracy and user-friendliness are two required criteria in the development of any prediction model to be not only accepted by clinicians and policymakers, but also commonly used by the general public. We will discuss popular statistical methodologies and the risk models utilized in a variety of real settings. The larger question is how do we get our "good" models into common practice? To illustrate this, I will present models for diabetes and kidney disease. Other participants may want to discuss their own prediction models or schemes and how they are being used in practice.
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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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