A Poor Prognosis for the Diagnostic Screening Critique of Statistical Tests

Deborah Mayo and Richard Donald Morey

No ps38b, OSF Preprints from Center for Open Science

Abstract: Recently, a number of statistical reformers have argued for conceptualizing significance testing as analogous to diagnostic testing, with a "base rate" of true nulls and a test's error probabilities used to compute a "positive predictive value" or "false discovery rate". These quantities are used to critique statistical and scientific practice. We argue against this; these quantities are not relevant for evaluating statistical tests, they add to the confusion over significance testing, and they take the focus away from what matters: evidence.

Date: 2017-07-26
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:ps38b

DOI: 10.31219/osf.io/ps38b

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