A Modified Knox Test of Space-Time Clustering
Rose Baker
Journal of Applied Statistics, 2004, vol. 31, issue 4, 457-463
Abstract:
Tests of space-time clustering such as the Knox test are used by epidemiologists in the preliminary analysis of datasets where an infectious aetiology is suspected. The Knox test statistic is the number of cases close in both space and time to another case. The test statistic proposed here is the excess number of such cases over that expected under H0 of no infection. It is argued that this modified test is more powerful than the Knox test, because the test statistic is not heavily tied as is the Knox test statistic. The use of the test is illustrated with examples.
Keywords: Epidemiology; Permutation Test; Monte Carlo; Fortran95 Program (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:31:y:2004:i:4:p:457-463
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DOI: 10.1080/02664760410001681747
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