What is it about?
Discusses the dangers of using methods developed for independent observations when clustering applies
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Why is it important?
The chi-square test of association assumes independence of observations within cells. This assumption is not appropriate for the spatial analysis of infectious diseases. This is illustrated using the case of an epidemic of Q Fever in the Valle de Bagnes in Switzerland.
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This page is a summary of: A Note Concerning the Analysis of an Epidemic of Q Fever, International Journal of Epidemiology, January 1988, Oxford University Press (OUP),
DOI: 10.1093/ije/17.4.891.
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