JSM 2012 Home

JSM 2012 Online Program

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: 397
Type: Topic Contributed
Date/Time: Tuesday, July 31, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #305195
Title: Multiple Imputation Of Linked Data: A Case Study
Author(s): Guangyu Zhang*+ and Jennifer D Parker and Nathaniel Schenker
Companies: National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics
Address: 3311 Toledo Road, Hyattsville, MD, , USA
Keywords: Multiple imputation ; Linked Data

Record linkage is a very valuable and efficient tool for connecting information from different data sources. However missing data occur due to unlinked records and nonresponse. In this talk, we develop a multiple imputation model based on the propensity of linkage and compare our method with different imputation techniques. We apply our method to the National Health Interview survey (NHIS, year 2004-2005) linked with the CMS (Medicare) administrative data (year 1999-2007), data linked by the linkage program at the National Center for Health Statistics (NCHS). Simulation studies are conducted to evaluate our approach.

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.