ValidP-Values Behave Exactly as They Should: Some Misleading Criticisms ofP-Values and Their Resolution WithS-Values
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Publication:5868233
DOI10.1080/00031305.2018.1529625OpenAlexW2923919911MaRDI QIDQ5868233
Publication date: 20 September 2022
Published in: The American Statistician (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00031305.2018.1529625
evidenceinformationcompatibilitysignificance testing\(P\)-valuessurprisal\(S\)-valuesdichotomanialogworthnullism
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Cites Work
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- A Mathematical Theory of Communication
- The Bayesian analysis of complex, high-dimensional models: can it be CODA?
- Frequentist probability and frequentist statistics
- Bioequivalence trials, intersection-union tests and equivalence confidence sets. With comments and a rejoinder by the authors
- The interplay of Bayesian and frequentist analysis
- The Surprise Index for the Multivariate Normal Distribution
- Testing Statistical Hypotheses of Equivalence and Noninferiority
- Reconciling Bayesian and Frequentist Evidence in the One-Sided Testing Problem
- Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence
- Sampling and Bayes' Inference in Scientific Modelling and Robustness
- P Values Maximized Over a Confidence Set for the Nuisance Parameter
- P Values for Composite Null Models
- Conditioning, Likelihood, and Coherence: A Review of Some Foundational Concepts
- The Effect of Sample Size on the Meaning of Significance Tests
- Calibration ofρValues for Testing Precise Null Hypotheses
- Principles of Applied Statistics
- Why are p-Values Controversial?
- The ASA Statement on p-Values: Context, Process, and Purpose
- P-Value Precision and Reproducibility