#statstab #455 False Discovery Rate (FDR) and q-values

Thoughts: The q-value of a test is the expected proportion of false positives among all hypotheses with p-values as small or smaller than that test.

#pvalues #qvalues #FDR #FWER #error

https://www.nonlinear.com/support/progenesis/comet/faq/v2.0/pq-values.aspx

#statstab #377 To adjust, or not to adjust, for multiple comparisons

Thoughts: Not all-encompassing, but it does cover some relevant notions about multiplicity adjustments.

#FDR #FWER #typeI #error #bonferroni #bayesian #multiplecomparisons

https://www.jclinepi.com/article/S0895-4356%2825%2900021-6/fulltext

Here's a really good paper from @keegankorthauer@twitter.com on methods controlling false discovery rates.

https://doi.org/10.1186/s13059-019-1716-1

While they focus on #genomics, they give a good overview on what #fdr and #fwer controlling methods do and what they're for that's applicable to anyone in any field performing multiple simultaneous hypothesis tests