Activity Number:
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468
- Recurrent Event Data and Survival Analysis
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Type:
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Contributed
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Date/Time:
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Wednesday, August 2, 2017 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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Abstract #322491
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View Presentation
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Title:
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A General Class of Additive Models for Recurrent Event Data
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Author(s):
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Russell Stocker*
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Companies:
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Indiana University of Pennsylvania
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Keywords:
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Additive Model ;
Recurrent Events ;
Estimating Equations ;
Effective Age ;
Counting Processes ;
Empirical Processes
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Abstract:
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A general class of additive models for recurrent event data is proposed. Estimators are derived and their associated asymptotic properties are established. Simulation studies are conducted to investigate finite sample properties and a real data is analyzed to illustrate the class of models.
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Authors who are presenting talks have a * after their name.