The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
|
Activity Number:
|
27
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, July 31, 2011 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Biometrics Section
|
| Abstract - #302387 |
|
Title:
|
Variability as a Predictor of Dementia
|
|
Author(s):
|
Michael R. Elliott*+ and Mary Sammel and Jessica Faul
|
|
Companies:
|
University of Michigan and University of Pennsylvania and University of Michigan
|
|
Address:
|
M4124 SPHII, Ann Arbor, MI, 48109, USA
|
|
Keywords:
|
Differential measurement error ;
Markov Chain Monte Carlo ;
Total recall ;
Dementia ;
Health and Retirement Survey
|
|
Abstract:
|
Means or other central tendency measures are by far the most common focus of statistical analyses. However, as Carroll (2003) noted, ``systematic dependence of variability on known factors'' may be ``fundamental to the proper solution of scientific problems'' in certain settings. We develop a method for combining information from mean profiles and residual variance to predict categorical outcomes in a joint hierarchical modeling framework. We consider an application to prediction of dementia onset using word recall measures obtained over time from the Health and Retirement Survey.
|
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 2011 program
|
2011 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.