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:
|
245
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, August 1, 2011 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
ENAR
|
| Abstract - #303022 |
|
Title:
|
Tests of Separate Hypotheses for the Linear Mixed Model
|
|
Author(s):
|
Che Smith*+ and Lloyd J. Edwards
|
|
Companies:
|
The University of North Carolina at Chapel Hill and The University of North Carolina at Chapel Hill
|
|
Address:
|
3101 McGavran-Greenberg, Chapel Hill, NC, 27599-7420,
|
|
Keywords:
|
bootstrap ;
information criterion ;
model selection ;
non-nested models ;
statistical computing
|
|
Abstract:
|
In model selection, comparisons between linear mixed effects models with non nested fixed effects have been underexplored. We compare the performance of a Cox Test of Separate Hypotheses with the Extended Information Criterion to select between two candidate repeated measurement models arising from both real and simulated data. Other cases of non nested models are addressed, including the comparison of linear vs. nonlinear mixed effects models.
|
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.