Cuzick–Edwards 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

• Clustering (demographics)