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