False Discovery Rate

Data Skeptic

• Episode: False Discovery Rate
• Website: Data Skeptic
• Feed URL: https://dataskeptic.com/api/blog/rss
• Published: 2018-09-28 02:00

A false discovery rate (FDR) is a methodology that can be useful when struggling with the problem of multiple comparisons. In any experiment, if the experimenter checks more than one dependent variable, then they are making multiple comparisons. Naturally, if you make enough comparisons, you will eventually find some correlation. Classically, people applied the Bonferroni Correction. This episode covers an alternative known as false discovery rates.