Percy Fawcett and the Lost City. False discovery rate.
DOI:
https://doi.org/10.30445/rear.v17i2.1303Keywords:
multiple comparisons, false positive, type 1 error, false discovery rate, Benjamini-Hochberg methodAbstract
When multiple hypothesis tests are performed, the probability of committing a type 1 error increases, increasing the risk of detecting false positive effects.
The false discovery rate allows to limit the probability of type 1 error when the number of contrasts is very high, also allowing to control the risk of making type 2 errors and failing to detect true positives.
References
- Korthauer K, Kimes PK, Duvallet C, Reyes A, Subramanian A, Teng M, et al. A practical guide to methods controlling false discoveries in computational biology. Genome Biol. 2019;20:118.
- Multiple testing. En: James G, Witten D, Hastie T, Tibshirani R, Taylor J, eds. An introduction to statistical learning with applications in Python. Springer International Publishing AG, 2023: 557-96.
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