This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
481
|
Type:
|
Contributed
|
Date/Time:
|
Wednesday, August 4, 2010 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Statistics in Epidemiology
|
Abstract - #306520 |
Title:
|
Computationally Efficient Marginal Models for Recurrent Event Data
|
Author(s):
|
Dandan Liu*+ and Douglas E. Schaubel and John David Kalbfleisch
|
Companies:
|
University of Michigan and University of Michigan and University of Michigan
|
Address:
|
, , ,
|
Keywords:
|
recurrent event data ;
Interval-grouped ;
proportional rates model ;
piecewise constant ;
hospitalization
|
Abstract:
|
Large databases derived from disease registries and retrospective cohort studies have proven very useful for the study of health services utilization. However, the use of large observational databases may introduce computational difficulties, particularly when the event of interest is recurrent. In such settings, grouping the recurrent event data into pre-specified intervals leads to a flexible event rate model and a data reduction which remedies the computational issues. We propose a possibly stratified marginal proportional rates model with a piecewise constant baseline event rate for recurrent event data. Large-sample distributions are derived for the proposed estimators. Simulation studies are conducted under various data configurations. An application based on national hospitalization data for end stage renal disease patients is provided.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2010 program
|
2010 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.