On the Poor Statistical Properties of the <i>P</i> -Curve Meta-Analytic Procedure

The P -curve (Simonsohn, Nelson, & Simmons, 2014; Simonsohn, Simmons, & Nelson, 2015) is a widely-used suite of meta-analytic tests advertised for detecting problems in sets of studies. They are based on nonparametric combinations of p values (e.g., Marden, 1985) across significant (p<.05) studies and are variously claimed to detect “evidential value”, “lack of evidential value”, and “left skew” in p values. We show that these tests do not have the properties ascribed to them. Moreover, they fail basic desiderata for tests, including admissibility and monotonicity. In light of these serious problems, we recommend against the use of the P -curve tests.

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Publication Details

Journal
Journal of the American Statistical Association
Published
2025-08-08
DOI
https://doi.org/10.1080/01621459.2025.2544397
Citations
5
Primary Topic
Advanced Statistical Methods and Models
Type
article
Field-Weighted Citation Impact
13.15
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article

On the Poor Statistical Properties of the P -Curve Meta-Analytic Procedure

Clintin P. Davis‐Stober, Richard D. Morey
5 citations
Journal of the American Statistical Association
Advanced Statistical Methods and Models
13.15
article

On the Poor Statistical Properties of the P -Curve Meta-Analytic Procedure

Clintin P. Davis‐Stober, Richard D. Morey
article en
5 citations

Abstract

The P -curve (Simonsohn, Nelson, & Simmons, 2014; Simonsohn, Simmons, & Nelson, 2015) is a widely-used suite of meta-analytic tests advertised for detecting problems in sets of studies. They are based on nonparametric combinations of p values (e.g., Marden, 1985) across significant (p<.05) studies and are variously claimed to detect “evidential value”, “lack of evidential value”, and “left skew” in p values. We show that these tests do not have the properties ascribed to them. Moreover, they fail basic desiderata for tests, including admissibility and monotonicity. In light of these serious problems, we recommend against the use of the P -curve tests.

Journal of the American Statistical Association
University of Missouri (US), Cardiff University (GB), Hologic (Germany) (DE)
No poverty
Openalex Percentile: Top 1%
Advanced Statistical Methods and Models
13.15
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