The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
|
Activity Number:
|
415
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
SSC
|
| Abstract - #305336 |
|
Title:
|
Estimating Equation Approach for Joint Estimation of Regression Parameters and Missing Data Probabilities
|
|
Author(s):
|
Yang Zhao*+ and Meng Liu
|
|
Companies:
|
University of Regina and University of Regina
|
|
Address:
|
Math and Stats Dept., Regina, SK, S4S 0A2, Canada
|
|
Keywords:
|
Estimating equation ;
Missing covariates ;
Missing data probability ;
Nonmonotone missing pattern
|
|
Abstract:
|
This research considers estimating regression models with covariates missing in nonmonotone patterns. It proposes a method to joint estimate the regression parameters and the missing data probabilities. The method can deal with arbitrary missing data patterns as long as the missing data probabilities can be estimated consistently based on observed data. A read data example from a clinical trial on breast cancer is used to illustrate the 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 2012 program
|
2012 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.