Cuzick–Edwards test
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Short description: Statistical significance test
In statistics, the Cuzick–Edwards test[1] is a significance test whose aim is to detect the possible clustering of sub-populations within a clustered or non-uniformly-spread overall population. Possible applications of the test include examining the spatial clustering of childhood leukemia and lymphoma within the general population, given that the general population is spatially clustered.[citation needed]
The test is based on:[citation needed]
- using control locations within the general population as the basis of a second or "control" sub-population in addition to the original "case" sub-population;
- using "nearest-neighbour" analyses to form statistics based on either:
- the number of other "cases" among the neighbours of each case;
- the number "cases" which are nearer to each given case than the k-th nearest "control" for that case.
An example application of this test was to spatial clustering of leukaemias and lymphomas among young people in New Zealand.[2]
See also
References
- ↑ Jack Cuzick and Robert Edwards (1990). "Spatial clustering for inhomogeneous populations". Journal of the Royal Statistical Society, Series B 52 (1): 73–104. doi:10.1111/j.2517-6161.1990.tb01773.x. ISSN 0035-9246.
- ↑ Dockerty, J. D.; Sharples, K. J.; Borman, B. (March 1999). "An assessment of spatial clustering of leukaemias and lymphomas among young people in New Zealand". Journal of Epidemiology and Community Health 53 (3): 154–158. doi:10.1136/jech.53.3.154. ISSN 0143-005X. PMID 10396492.
Further reading
- T.E. Carpenter and M.P. Ward (2003). "Methods for Determining Spatial Clusters in Surveillance and Survey Programmes: Cuzick-Edwards test". in Mowafak Dauod Salman. Animal Disease Surveillance and Survey Systems. Blackwell Publishing. pp. 107–116. ISBN 9780813810317.
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