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.

The test is based on:

  • 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

  1. ↑ 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. JSTOR 2345652. S2CID 115231821.
  2. ↑ 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. PMC 1756850. 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 (ed.). Animal Disease Surveillance and Survey Systems. Blackwell Publishing. pp. 107–116. ISBN 9780813810317.
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