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:
|
34
|
Type:
|
Contributed
|
Date/Time:
|
Sunday, July 31, 2011 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Biopharmaceutical Section
|
Abstract - #301856 |
Title:
|
Optimal Longitudinal Cohort Designs and Parameter Estimation
|
Author(s):
|
Lu Gan*+ and Subir Ghosh
|
Companies:
|
University of California at Riverside and University of California at Riverside
|
Address:
|
Department of Statistics, Riverside, CA, 92521,
|
Keywords:
|
Cohort Design ;
Design Optimality ;
Mixed Effects ;
Model REML ;
Variance Estimation
|
Abstract:
|
For a longitudinal study in two cohorts with n subjects each, the observations are taken at three different time points denoted by (-1, x, 1) where -1 < x < 1. Our class of longitudinal cohort designs is{(-1, x1, 1) (-1, x2, 1); -1 < x1 = x2< 1}. For a linear mixed effects model, we obtain designs for estimating the fixed effects parameters under the standard D-, A-, and E- optimality criteria. We present the Restricted Maximum Likelihood (REML) estimates of variance components under certain model assumptions.
|
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.