Abstract Details
Activity Number:
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333
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract #312840
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View Presentation
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Title:
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Describing the Time-Varying Predictive Performance of Survival Models
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Author(s):
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Chao-Kang Jason Liang*+
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Companies:
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University of Washington
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Keywords:
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survival ;
predictive accuracy ;
discrimination
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Abstract:
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Evaluating predictive survival models can often involve ad hoc decisions - for example, in choosing a measure of model performance. This is in part due to a lack of measures that match up with particular scientific goals. My talk will focus on addressing this issue. Specifically, I will propose a new method of evaluating the time-varying predictive accuracy of survival models. I will show that our new metric, the hazard discrimination index (HDI), has an intuitive interpretation and is a useful addition to the set of methods for evaluating predictive survival models.
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Authors who are presenting talks have a * after their name.
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