Evidence map›Paper›PMID 28386409›Full record

ArticleRoyal Society open science2017

Low statistical power in biomedical science: a review of three human research domains.

Estelle Dumas-Mallet, Katherine S Button, Thomas Boraud, Francois Gonon, Marcus R Munafò

Abstract read
In one paragraph

Article in Royal Society open science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 11 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

90 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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30 more citing papers are in PubMed but not listed here.

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.

Estelle Dumas-MalletInstitute of Neurodegenerative Diseases, CNRS UMR-5293, University of Bordeaux, Bordeaux, France; Centre Emile Durkheim, CNRS UMR-5116, University of Bordeaux, Bordeaux, France.
Katherine S ButtonDepartment of Psychology , University of Bath , Bath , UK.
Thomas BoraudInstitute of Neurodegenerative Diseases, CNRS UMR-5293 , University of Bordeaux , Bordeaux , France.
Francois GononInstitute of Neurodegenerative Diseases, CNRS UMR-5293 , University of Bordeaux , Bordeaux , France.
Marcus R MunafòMRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK; UK Centre for Tobacco and Alcohol Studies, School of Experimental Psychology, University of Bristol, Bristol, UK.ORCID 0000-0002-4049-993X

Funding

Medical Research Council MC_UU_12013/6
6 · The paper itself

Abstract

Studies with low statistical power increase the likelihood that a statistically significant finding represents a false positive result. We conducted a review of meta-analyses of studies investigating the association of biological, environmental or cognitive parameters with neurological, psychiatric and somatic diseases, excluding treatment studies, in order to estimate the average statistical power across these domains. Taking the effect size indicated by a meta-analysis as the best estimate of the likely true effect size, and assuming a threshold for declaring statistical significance of 5%, we found that approximately 50% of studies have statistical power in the 0-10% or 11-20% range, well below the minimum of 80% that is often considered conventional. Studies with low statistical power appear to be common in the biomedical sciences, at least in the specific subject areas captured by our search strategy. However, we also observe evidence that this depends in part on research methodology, with candidate gene studies showing very low average power and studies using cognitive/behavioural measures showing high average power. This warrants further investigation.

Indexed as

neurologypsychiatryreproducibilitysomatic diseasestatistical power

Identifiers

PMID28386409
PMCPMC5367316

What OpenQuestion holds

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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.