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In statistics, the Cuzick–Edwards test〔 〕 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.〔Dockerty, JD, Sharples, KJ, Borman, B (1999) An assessment of spatial clustering of leukaemias and lymphomas among young people in New Zealand "J Epidemiol Community Health", 53, 154–158. doi 10.1136/jech.53.3.154 〕 ==See also== *Clustering (demographics) 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Cuzick–Edwards test」の詳細全文を読む スポンサード リンク
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