Multiple comparisons | Statistical hypothesis testing

Q-value (statistics)

In statistical hypothesis testing, specifically multiple hypothesis testing, the q-value provides a means to control the positive false discovery rate (pFDR). Just as the p-value gives the expected false positive rate obtained by rejecting the null hypothesis for any result with an equal or smaller p-value, the q-value gives the expected pFDR obtained by rejecting the null hypothesis for any result with an equal or smaller q-value. (Wikipedia).

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Related pages

False discovery rate | False positive rate | Multiple comparisons problem | Alternative hypothesis | Family-wise error rate | Null distribution | P-value | Posterior probability | R (programming language) | Test statistic | Infimum and supremum | Statistical hypothesis testing | Bonferroni correction | Independent and identically distributed random variables | Null hypothesis