Evidence map›Paper›PMID 38421485›Full record

ArticleEuropean journal of epidemiology2024

Using the global randomization test as a Mendelian randomization falsification test for the exclusion restriction assumption.

Louise A C Millard, George Davey Smith, Kate Tilling

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European journal of epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.4field-weighted citation impact, top 6% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Louise A C MillardMRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK. louise.millard@bristol.ac.uk.ORCID http://orcid.org/0000-0003-4787-8411
George Davey Smith *MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-1407-8314
Kate Tilling *MRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK.ORCID http://orcid.org/0000-0002-1010-8926
University of Bristol · GB

Funding

Medical Research Council MC_UU_00011/1&3
6 · The paper itself

Abstract

Mendelian randomization may give biased causal estimates if the instrument affects the outcome not solely via the exposure of interest (violating the exclusion restriction assumption). We demonstrate use of a global randomization test as a falsification test for the exclusion restriction assumption. Using simulations, we explored the statistical power of the randomization test to detect an association between a genetic instrument and a covariate set due to (a) selection bias or (b) horizontal pleiotropy, compared to three approaches examining associations with individual covariates: (i) Bonferroni correction for the number of covariates, (ii) correction for the effective number of independent covariates, and (iii) an r

Indexed as

Coronary DiseaseMendelian Randomization AnalysisHumansSelection BiasExclusion restriction assumptionFalsification testHorizontal pleiotropyMendelian randomizationSelection bias

Identifiers

PMID38421485
PMCPMC11410989
OpenAlexW4392293887

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.