Identification

Author

Kulldorrf M, Nagarwalla N

Title

Spacial disease clusters: Detection and inference

Year

1995

Publication type

Article

Journal

Statistics in Medicine

Created

2014-03-26 18:54:52+00:00

Modified

2016-08-10 19:49:26.049268+00:00

Details

Volume

14

Number

8

Pages

799-810

Access

Language

English

URL http://www.satscan.org/papers/k-sm1995.pdf
DOI

10.1002/sim.4780140809

Accessed

2016-06-28

Extended information

Abstract

We present a new method for 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 pre-defined administrative or political borders. The test can be sued 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 leukemia in Upstate New York.