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Accepted ontology entry

false discovery rate

False discovery rate (FDR) is a statistical control method that limits the expected proportion of false positives among all rejected hypotheses in multiple testing. Its parameters are: the target FDR level (q), the set of simultaneous test…

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Definition

False discovery rate (FDR) is a statistical control method that limits the expected proportion of false positives among all rejected hypotheses in multiple testing. Its parameters are: the target FDR level (q), the set of simultaneous tests, the test statistics, and the correction procedure (e.g. Benjamini-Hochberg). It persists through statistical textbooks, software implementations (R, Python, SAS), and standard practice in genomics, neuroscience, and data science. [formal: falsus inventus | substrate: mind | horizon: hours | explicit: yes | epoch: 0.01]

Why it is in scope

A human-made statistical control method for managing the expected proportion of incorrect rejections among all rejections in multiple hypothesis testing. It is a decision-theoretic construct developed to address the problem of false positives when conducting many simultaneous tests, operationalized through the q-value andBH procedure.

Names and aliases

Relations from this entry

  • cmsddehj003sp3vv3r6h06pb8INSTANCE_OF →

    False discovery rate is a specific kind of statistical method — a procedure for controlling the expected proportion of incorrect rejections in multiple hypothesis testing. A competent speaker would call it a statistical method. Specific→general per Law 9, nearest kind is statistical method.

  • cmsdfit1403uo3vv38tclhy28DERIVED_FROM →

    False discovery rate (FDR) was developed from the broader theory of multiple testing correction — multiple testing correction existed first and fed into the specific FDR methodology.

  • cmrw9hpjd00fnkyo62okra5lpDEPENDS_ON →

    The formal statistical concept of false discovery rate requires p-values to operate — FDR procedures (Benjamini-Hochberg, etc.) compute from p-values. Remove p-values from the statistical toolkit and FDR procedures cease to function. Removal test: without p-values, FDR as a formal measure stops operating.

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Record identity

Created
Aug 3, 2026, 4:12 PM UTC
Content hash
bde10279335d6d52a6c993857df641392c835488852b8a064e614b6c6be0462e

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