Evidence map›Paper›PMID 25051387›Full record

ArticleMedicine and science in sports and exercise2015

"Magnitude-based inference": a statistical review.

Alan H Welsh, Emma J Knight

Abstract read
In one paragraph

Article in Medicine and science in sports and exercise, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
–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

29 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. The effect of 6 days of alpha glycerylphosphorylcholine on isometric strength.Journal of the International Society of Sports Nutrition · 2015
    Trial
  6. Review
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  15. Review
  16. Magnitude-based Inference is not Bayesian and is not a valid method of inference.Scandinavian journal of medicine & science in sports · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. Reporting Characteristics in Sports Nutrition.Sports (Basel, Switzerland) · 2018
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Alan H Welsh1Mathematical Sciences Institute, Australian National University, Canberra, Australian Capital Territory, AUSTRALIA; and 2Performance Research, Australian Institute of Sport, Belconnen, Australian Capital Territory, AUSTRALIA.
Emma J Knight

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe consider "magnitude-based inference" and its interpretation by examining in detail its use in the problem of comparing two means.

methodsWe extract from the spreadsheets, which are provided to users of the analysis (http://www.sportsci.org/), a precise description of how "magnitude-based inference" is implemented. We compare the implemented version of the method with general descriptions of it and interpret the method in familiar statistical terms. RESULTS AND

conclusionsWe show that "magnitude-based inference" is not a progressive improvement on modern statistics. The additional probabilities introduced are not directly related to the confidence interval but, rather, are interpretable either as P values for two different nonstandard tests (for different null hypotheses) or as approximate Bayesian calculations, which also lead to a type of test. We also discuss sample size calculations associated with "magnitude-based inference" and show that the substantial reduction in sample sizes claimed for the method (30% of the sample size obtained from standard frequentist calculations) is not justifiable so the sample size calculations should not be used. Rather than using "magnitude-based inference," a better solution is to be realistic about the limitations of the data and use either confidence intervals or a fully Bayesian analysis.

Indexed as

Bayes TheoremData Interpretation, StatisticalHumansSports Medicine

Identifiers

PMID25051387
PMCPMC5642352

What OpenQuestion holds

Textmetadata
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.