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PubMed · 7644860

Spatial disease clusters: detection and inference.

M Kulldorff·N Nagarwalla
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Abstract

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.

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Cluster AnalysisData Interpretation, StatisticalHumansIncidenceLeukemiaLikelihood FunctionsMonte Carlo MethodNew YorkResidence CharacteristicsRiskJournal ArticleResearch Support, Non-U.S. Gov't

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BibTeXRIS

M Kulldorff, N Nagarwalla. 1995-04-30. Spatial disease clusters: detection and inference.. https://doi.org/10.1002/sim.4780140809

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