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Activity Number: 333
Type: Contributed
Date/Time: Tuesday, August 5, 2014 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #312840 View Presentation
Title: Describing the Time-Varying Predictive Performance of Survival Models
Author(s): Chao-Kang Jason Liang*+
Companies: University of Washington
Keywords: survival ; predictive accuracy ; discrimination
Abstract:

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.


Authors who are presenting talks have a * after their name.

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