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Fisher's exact test is a statistical test used to determine whether there is a significant association between two categorical variables in a contingency table. In the context of adverse event tables in clinical trials, Fisher's exact test can be used to evaluate whether there is a significant association between a treatment group and the incidence of an adverse event.
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