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Activity Number: 468 - Recurrent Event Data and Survival Analysis
Type: Contributed
Date/Time: Wednesday, August 2, 2017 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract #322491 View Presentation
Title: A General Class of Additive Models for Recurrent Event Data
Author(s): Russell Stocker*
Companies: Indiana University of Pennsylvania
Keywords: Additive Model ; Recurrent Events ; Estimating Equations ; Effective Age ; Counting Processes ; Empirical Processes
Abstract:

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.


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

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