Evidence map›Paper›PMID 39936767›Full record

ReviewRevista peruana de medicina experimental y salud publica2025

The null hypothesis significance test and the dichotomization of the p-value: Errare Humanum Est.

Edward Mezones-Holguín, Ali Al-Kassab-Córdova, Percy Soto-Becerra, Sonia Hernández-Díaz, Jay S Kaufman

Abstract readReview
In one paragraph

Review in Revista peruana de medicina experimental y salud publica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Edward Mezones-HolguínCentro de Excelencia en Investigaciones Económicas y Sociales en Salud, Universidad San Ignacio de Loyola, Lima, Perú.ORCID http://orcid.org/0000-0001-7168-8613
Ali Al-Kassab-CórdovaCentro de Excelencia en Investigaciones Económicas y Sociales en Salud, Universidad San Ignacio de Loyola, Lima, Perú.ORCID http://orcid.org/0000-0003-3718-5857
Percy Soto-BecerraVicerrectorado de Investigación, Universidad Continental, Huancayo, Perú.ORCID http://orcid.org/0000-0001-5332-9254
Sonia Hernández-DíazDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, EE.UU.ORCID http://orcid.org/0000-0003-1458-7642
Jay S KaufmanDepartment of Epidemiology, Biostatistics, & Occupational Health, McGill University, Montreal, Canada.ORCID http://orcid.org/0000-0003-1606-401X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decision-making in healthcare is complex and needs to be based on the best scientific evidence. In this process, information derived from statistical analysis of data is crucial, which can be developed from either frequentist or Bayesian perspectives. When it comes to the frequentist field, the null hypothesis significance test (NHST) and its p-value is one of the most widely used techniques in different disciplines. However, NHST has been subjected to questioning from different academic points of view, which has led to it being considered as one of the causes of the so-called replicability crisis in science. In this review article, we provide a brief historical account of its development, summarize the underlying methods, describe some controversies and limitations, address misuse and misinterpretation, and finally give some scopes and reflections in the context of biomedical research.

Indexed as

Biomedical ResearchBayes TheoremData Interpretation, StatisticalHumans

Identifiers

PMID39936767
PMCPMC11797584

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.