JSM 2005 - Toronto

Abstract #303888

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 367
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #303888
Title: Advances in Record Linkage Theory
Author(s): Michael D. Larsen*+
Companies: Iowa State University
Address: 220 Snedecor Hall, Ames, IA, 50011, USA
Keywords: File matching ; Fellegi-Sunter ; U.S. Bureau of the Census ; Latent class models ; National Death Index ; Confidentiality
Abstract:

Record linkage, or exact file matching, consists of bringing together records in two or more files on the same population. Files are linked for the purposes of counting the population and creating a larger database, enabling analyses that would otherwise not be possible. The U.S. Bureau of the Census uses record linkage in decennial census undercount estimation. The National Center for Health Statistics uses record linkage to match surveys to the National Death Index for studies of mortality and morbidity. The National Institute of Statistical Sciences has investigated secure analysis (analysis that protects confidentiality and limits disclosure risk) of linked files. This talk discusses advances in record linkage theory related to these efforts. Previous work has analyzed the uncertainty in linear regression analyses due to probabilistic record linkage error. Methods of record linkage that enforce one-to-one matching between individuals have been implemented. Bayesian methods that allow expression of prior information into analyses have been developed. Secure computations in an uncertain record linkage setting are under investigation.

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Revised March 2005