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>Bayesian versus frequentist statistical inference for investigating a one-off cancer cluster reported to a health department
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Bayesian versus frequentist statistical inference for investigating a one-off cancer cluster reported to a health department
BackgroundThe problem of silent multiple comparisons is one of the most difficult statistical problems faced by scientists. It is a particular problem for investigating a one-off cancer cluster reported to a health department because any one of hundreds, or possibly thousands, of neighbourhoods, schools, or workplaces could have reported a cluster, which could have been for any one of several types of cancer or any one of several time periods.
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