The process of linking individual-level information from different sources has become an important tool in public health and medical research. In many cases, the records to be linked do not include a common unique identifier. The methods and software that are available to link records in the absence of a common unique identifier offer researchers limited options in terms of linkage methodology, practical application, and cost. The current proposal is to develop new methods for record linkage and to incorporate these into a software package that is designed to meet the needs of the research community. Specifically, we will investigate the use of classification and regression trees (CART) for record linkage and compare it to currently available methods. To our knowledge, the use of CART for record linkage has not been investigated previously.

Proposed Commercial Applications

Record linkage is used by a broad spectrum of health care organizations, health and medical researchers, and government health agencies. The proposed linkage system would potentially be used by all of the above for research on health and health care services and in the provision of health and medical care.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43CA088757-01
Application #
6213364
Study Section
Special Emphasis Panel (ZRG1-SNEM-4 (02))
Program Officer
Reeve, Bryce
Project Start
2000-08-16
Project End
2003-07-31
Budget Start
2000-08-16
Budget End
2003-07-31
Support Year
1
Fiscal Year
2000
Total Cost
$121,814
Indirect Cost
Name
Analytical Sciences, Inc.
Department
Type
DUNS #
City
Durham
State
NC
Country
United States
Zip Code
27713