Spatial disease clusters: Detection and inference
Article first published online: 28 FEB 2007
Copyright © 1995 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 14, Issue 8, pages 799–810, 30 April 1995
How to Cite
Kulldorff, M. and Nagarwalla, N. (1995), Spatial disease clusters: Detection and inference. Statist. Med., 14: 799–810. doi: 10.1002/sim.4780140809
- Issue published online: 28 FEB 2007
- Article first published online: 28 FEB 2007
- Manuscript Revised: MAY 1994
- Manuscript Received: DEC 1993
- Swedish Council for Research in the Humanities and Social Sciences
We 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.