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The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

Calibration of ρ Values for Testing Precise Null Hypotheses

Sellke, Thomas, Bayarri, M. J, Berger, James O·2001·The American Statistician

Abstract

P values are the most commonly used tool to measure evidence against a hypothesis or hypothesized model. Unfortunately, they are often incorrectly viewed as an error probability for rejection of the hypothesis or, even worse, as the posterior probability that the hypothesis is true. The fact that these interpretations can be completely misleading when testing precise hypotheses is first reviewed, through consideration of two revealing simulations. Then two calibrations of a ρ value are developed, the first being interpretable as odds and the second as either a (conditional) frequentist error probability or as the posterior probability of the hypothesis.

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Metadata

Authors
Sellke, T., Bayarri, M. J., & Berger, J. O.
Venue
The American Statistician
Published
2001-02
Volume
55
Issue
1
Pages
62-71
ISSN
  • 0003-1305 (ISSN-L)
  • 1537-2731
OpenAlex
W2131046448
Cited by
854
References
33
FWCI
13.10
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Calibration of ρ Values for Testing Precise Null Hypotheses. https://app.cochat.ai/papers/10.1198/000313001300339950
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Sellke, T., Bayarri, M. J., & Berger, J. O. (2001). Calibration of ρ Values for Testing Precise Null Hypotheses. The American Statistician. https://doi.org/10.1198/000313001300339950

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