Cited by 207Meta-analysis and systematic reviewsStatistical Methods in Clinical TrialsStatistical Methods in Epidemiology

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Catalogue of bias: attrition bias

Nunan, David, Aronson, Jeffrey, Bankhead, Clare·2018·BMJ Evidence-Based Medicine

DOI 10.1136/ebmed-2017-110883

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Abstract

This article is part of a series of articles featuring the Catalogue of Bias introduced in this volume of BMJ Evidence-Based Medicine that describes attrition bias and outlines its potential impact on research studies and the preventive steps to minimise its risk. Attrition bias is a type of selection bias due to systematic differences between study groups in the number and the way participants are lost from a study. Differences between people who leave a study and those who continue, particularly between study groups, can be the reason for any observed effect and not the intervention itself. Associations for mortality in trials of tranexamic acid and upper gastrointestinal bleeding were no longer apparent after studies with high or unclear risk of attrition bias were removed. Over-recruitment can help prevent important attrition bias. Sampling weights and tailored replenishment samples can help to compensate for the effects of attrition bias when present.

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“Attrition bias occurs when there are systematic differences between people who leave the study and those who continue (31).”
Background
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Authors: Nunan, D., Aronson, J., & Bankhead, C.
Affiliations: University of Oxford (GB)
ORCID: Nunan, David
Aronson, Jeffrey
Bankhead, Clare
Venue: BMJ Evidence-Based Medicine
Publisher: BMJ
Published: 2018-01-24
Volume: 23
Issue: 1
Pages: 21-22
ISSN: 1356-5524 (ISSN-L)
2515-446X
2515-4478
DOI: 10.1136/ebmed-2017-110883
OpenAlex: W2784801669
Cited by: 204
References: 9
Citations by year: 2026: 25 · 2025: 36 · 2024: 32 · 2023: 27 · 2022: 39 · 2021: 24 · 2020: 15 · 2019: 6
FWCI: 8.58
Type: journal article
Language: en
Open access: closed
Locations: BMJ Evidence-Based Medicine (publishedVersion)
PubMed (publishedVersion)
HighWire Press Open Archive (submittedVersion)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords: attrition bias, selection bias, participant dropout, trial bias, sampling weights, tranexamic acid, upper gastrointestinal bleeding, mortality
MeSH terms: Humans, Patient Dropouts, Bias, Selection Bias

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Catalogue of bias: attrition bias

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