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:
|
471
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Survey Research Methods
|
| Abstract - #303244 |
|
Title:
|
Generalized Estimating Equation Model for Binary Outcomes with Covariates Missing by Design
|
|
Author(s):
|
Qixuan Chen*+ and Myunghee C. Paik
|
|
Companies:
|
Columbia University and Columbia University
|
|
Address:
|
722 West 168th Street, R652, New York, NY, 10032,
|
|
Keywords:
|
dioxins ;
estimating equations ;
jackknife estimator ;
missing data
|
|
Abstract:
|
We propose a method to handle monotone missing covariates in a generalized estimating equation (GEE) model for correlated binary outcomes, when the covariates are missing by design. The regression coefficients are obtained by solving an aggregate unbiased estimating function, and the variance of the regression coefficients is estimated using the one-step jackknife estimator (Lipsitz et al. 1994). The advantages of the proposed new method over the complete cases analysis and the inverse probability weighted estimating equation are demonstrated by simulation studies. The new method is used to study whether concentration of dioxin congeners in house perimeter soil is an important predictor for having a high concentration of dioxin congeners in household dust, where structurally similar and correlated congeners are present and a limited numbers of soil samples are measured.
|
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.