Evidence map›Paper›PMID 30930620›Full record

ArticleTest (Madrid, Spain)2018

Exact testing with random permutations.

Jesse Hemerik, Jelle Goeman

Abstract read
In one paragraph

Article in Test (Madrid, Spain), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
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  3. Article
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  8. Toward Power Analysis for Partial Least Squares-Based Methods.Biometrical journal. Biometrische Zeitschrift · 2025
    Article
  9. Inference in generalized linear models with robustness to misspecified variances.Journal of the American Statistical Association · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Measure of Strength of Evidence for Visually Observed Differences between Subpopulations.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Better-than-chance classification for signal detection.Biostatistics (Oxford, England) · 2021
    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

2 authors.

Jesse HemerikDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center, Postzone S5-P, Postbus 9600, 2300 RC Leiden, The Netherlands.ORCID 0000-0002-9811-1336
Jelle GoemanDepartment of Medical Statistics and Bioinformatics, Leiden University Medical Center, Postzone S5-P, Postbus 9600, 2300 RC Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When permutation methods are used in practice, often a limited number of random permutations are used to decrease the computational burden. However, most theoretical literature assumes that the whole permutation group is used, and methods based on random permutations tend to be seen as approximate. There exists a very limited amount of literature on exact testing with random permutations, and only recently a thorough proof of exactness was given. In this paper, we provide an alternative proof, viewing the test as a "conditional Monte Carlo test" as it has been called in the literature. We also provide extensions of the result. Importantly, our results can be used to prove properties of various multiple testing procedures based on random permutations.

Indexed as

Nonparametric testPermutation testResampling

Identifiers

PMID30930620
PMCPMC6405018

What OpenQuestion holds

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LicenceCC BY
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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.