Many current statistical methods for disease clustering studies are based on a hypothesis testing paradigm. These methods typically do not produce useful estimates of disease rates or cluster risks.
The accurate and timely detection of unusual patterns in data from public health surveillance systems presents an important challenge to health workers interested in early identification of epidemics ...
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