This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 111
Type: Topic Contributed
Date/Time: Monday, August 2, 2010 : 8:30 AM to 10:20 AM
Sponsor: ENAR
Abstract - #308284
Title: Multiple Imputation for Missing Values Through Conditional Semiparametric Odds Ratio Models
Author(s): Hua Yun Chen*+ and Hui Xie
Companies: University of Illinois at Chicago and University of Illinois at Chicago
Address: 1603 West Taylor Street, Chicago, IL, 60612,
Keywords: Acceptance-rejection sampling ; Dirichlet process prior ; Gibbs sampler ; Nonparametric Bayesian inference ; Rejection control

We propose a multiple imputation framework that uses the conditional semiparametric odds ratio models to impute the missing values. The proposed imputation framework is more general and flexible than existing imputation methods based on the normal model. It is a compatible framework in comparison to the fully conditional specification approach. In addition, imputations based on the proposed model can be straightforwardly conducted. Algorithms for carrying out the multiple imputation through the Monte Carlo Markov Chain sampling approach are proposed. A simulation study is conducted to evaluate the performance of the proposed approach. The proposed approach is then applied to imputing missing values in bone fracture data.

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 2010 program

2010 JSM Online Program Home

For information, contact or phone (888) 231-3473.

If you have questions about the Continuing Education program, please contact the Education Department.