The p-value is, possibly, the most used tool in applied statistics, although it has some important shortcomings. The q-value was introduced by Storey (2003) as a byproduct of the positive false discovery rate. In this article, it is shown that the q-value could be considered as a good alternative to the p-value, because the q-value exhibits better properties than the p-value and, moreover, the q-value is easier to interpret than the p-value.
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