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Consistency of the k-th nearest neighbor estimator of the relative risk and its application to injury surveillance.

Authors
Slavova-S; Kryscio-R; Bunn-T
Source
Proceedings of the Thirty Seventh Spring Conference of the Union of Bulgarian Mathematicians, Mathematics and Education in Mathematics, April 2-6, 2008, Borovetz, Bolgaria. 2008 Apr; :232-238
NIOSHTIC No.
20042483
Abstract
The relative risk function is defined as the ratio of two probability density functions, usually cases to controls, at a fixed point. The nonparametric k-th nearest neighbor (kNN) approach is used for the density estimation. The kNN relative risk estimator at a fixed location is shown to be asymptotically consistent. An application of the kNN relative risk estimator to injury surveillance is discussed.
Keywords
Mathematical-models; Risk-factors; Beta-radiation; Sampling; Diseases; Injuries; Demographic-characteristics; Divers; Truck-drivers; Trucking; Age-groups; Injury-prevention; Education; Motor-vehicles; Humans; Men; Women
Contact
Svetla Slavova, Department of Statistics, University of Kentucky, 817 Patterson Office Tower, Lexington, KY 40506
Publication Date
20080402
Document Type
Other
Email Address
ssslav2@email.uky.edu
Funding Type
Cooperative Agreement
Fiscal Year
2008
NTIS Accession No.
NTIS Price
Identifying No.
Cooperative-Agreement-Number-U60-OH-008483
Source Name
Proceedings of the Thirty Seventh Spring Conference of the Union of Bulgarian Mathematicians, Mathematics and Education in Mathematics, April 2-6, 2008, Borovetz, Bolgaria
State
KY
Performing Organization
University of Kentucky
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