Spatial disease clusters: Detection and inference

Statistics in Medicine - Tập 14 Số 8 - Trang 799-810 - 1995
Martin Kulldorff1,2, Neville Nagarwalla3,4
1Biometry and Field Studies Branch, National Institute of Neurological Disorders and Stroke, NIH, Federal Building 7C16, 7550 Wisconsin Avenue, Bethesda, MD 20892, U.S.A.
2Department of Statistics, Uppsala University, Box 513, 751 20, Uppsala, Sweden
3Bio Statistech, 15 Winthrop Road, Brookline, MA 02146, U.S.A.
4Department of Dermatology, J-600, Boston University School of Medicine, 80 East Concord Street, Boston, MA 02118, U.S.A.

Tóm tắt

AbstractWe present a new method of detection and inference for spatial clusters of a disease. To avoid ad hoc procedures to test for clustering, we have a clearly defined alternative hypothesis and our test statistic is based on the likelihood ratio. The proposed test can detect clusters of any size, located anywhere in the study region. It is not restricted to clusters that conform to predefined administrative or political borders. The test can be used for spatially aggregated data as well as when exact geographic co‐ordinates are known for each individual. We illustrate the method on a data set describing the occurrence of leukaemia in Upstate New York.

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Thông tin
Thông tin xuất bản

Statistics in Medicine

Tập 14 Số 8

799-810

Thông tin tác giả