Evidence map›Paper›PMID 34017596›Full record

ArticleRoyal Society open science2021

How best to quantify replication success? A simulation study on the comparison of replication success metrics.

Jasmine Muradchanian, Rink Hoekstra, Henk Kiers, Don van Ravenzwaaij

Abstract read
In one paragraph

Article in Royal Society open science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. The assessment of replicability using the sum ofRoyal Society open science · 2024
    Article
  8. Power priors for replication studies.Test (Madrid, Spain) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

4 authors.

Jasmine MuradchanianBehavioural and Social Sciences, University of Groningen, The Netherlands.ORCID 0000-0002-2914-9197
Rink HoekstraBehavioural and Social Sciences, University of Groningen, The Netherlands.ORCID 0000-0002-1588-7527
Henk KiersBehavioural and Social Sciences, University of Groningen, The Netherlands.ORCID 0000-0002-4995-9349
Don van RavenzwaaijBehavioural and Social Sciences, University of Groningen, The Netherlands.ORCID 0000-0002-5030-4091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To overcome the frequently debated crisis of confidence, replicating studies is becoming increasingly more common. Multiple frequentist and Bayesian measures have been proposed to evaluate whether a replication is successful, but little is known about which method best captures replication success. This study is one of the first attempts to compare a number of quantitative measures of replication success with respect to their ability to draw the correct inference when the underlying truth is known, while taking publication bias into account. Our results show that Bayesian metrics seem to slightly outperform frequentist metrics across the board. Generally, meta-analytic approaches seem to slightly outperform metrics that evaluate single studies, except in the scenario of extreme publication bias, where this pattern reverses.

Indexed as

Bayes factorsmeta-analysispublication biasp-valuesreplication success

Identifiers

PMID34017596
PMCPMC8131945

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.