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There have been 2 main statistical approaches to cancer clusters.
The first approach known as “cell occupancy” sets up a 2 by 2 table
based on time and place. The time and place are defined by the
Investigator as near and far (place), recent and distant (time).
The null hypothesis is that all cells will be equal. If the “a” cell
(i.e. most recent time and nearest place) is statistically the largest,
then there is a disease cluster. In other words, there is a statistical
relationship in time and space between the cases. There are several
of these statistical tests; some of the most famous are listed by name.
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