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:
|
305
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, August 2, 2011 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Survey Research Methods
|
| Abstract - #302643 |
|
Title:
|
Propensity Score Adjustment for Nonignorable Nonresponse
|
|
Author(s):
|
Minsun Kim Riddles*+ and Jae-kwang Kim
|
|
Companies:
|
Iowa State University and Iowa State University
|
|
Address:
|
Department of Statistics, Ames, IA, 50011-1210,
|
|
Keywords:
|
missing data analysis ;
nonparametric prediction ;
generalized least squares ;
EM algorithm
|
|
Abstract:
|
The propensity score adjustment method is commonly used to adjust the bias that is due to nonresponse. We consider the propensity score adjustment method under nonignorable nonresponse. The method we propose does not use a full parametric distributional assumption, but it leads to consistent estimation of the parameters with some moment assumptions. We used the generalized least squares method to combine the observed information and compute an optimal estimator. Variance estimation is discussed, and results from limited simulation studies are presented to show the performance of the proposed method.
|
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.