The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Catalogue of bias: attrition bias
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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“and/or (3) studies with high attrition rates (≥30% in at least one arm), given attrition rates of ≥30% are associated with imbalances at baseline and are therefore vulnerable to bias such as clinical and psychosocial differences between groups due to differences between those that leave or remain in the study, which is likely to have an impact on the estimated effect of the exposure.98”
Citations
Cites
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Tranexamic acid for upper gastrointestinal bleeding
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Randomized controlled trial of hip protectors among women living in the community
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Items 201–207 of 207
Litchfield, I. J., Burt, C., Gardner, N., Hart, O., Lea, H., Harewood, C., Naisby, J., Natrins, I., Adams-Quackenbush, N. M., Thomas, N., et al. (2026) · BMC Public Health · doi:10.1186/s12889-026-28440-8
Survival Analysis in Cutaneous Leishmaniasis Patients: A Retrospective Cohort Study
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Candeloro, M., Candita, C., Pellegrino, R., Mariano, G., Porreca, E., Barassi, G., Paganelli, R., Iorio, A. D., Tanaka, T., & Ferrucci, L. (2026) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.70353
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Ahmad, S., Azhar, A., & Malik, M. Z. (2026) · Journal of Asthma · doi:10.1080/02770903.2026.2721187
Blackburn, A. D., Esterer, M., Justice, N., & Modi, A. C. (2026) · American Journal on Intellectual and Developmental Disabilities · doi:10.1080/19447515.2026.2712353
Research Study Attrition and Participant-Informed Retention Strategies Among Cancer Survivors
Meglio, A. D., Chiodi, C. K., Havas, J., Martin, E., Zyumbileva, P., Lapidari, P., Pagliuca, M., Chichua, M., Gillanders, E., Jacob, G., et al. (2026) · JAMA Network Open · doi:10.1001/jamanetworkopen.2026.33498
Metadata
- Authors
- Nunan, D., Aronson, J., & Bankhead, C.
- Affiliations
- University of Oxford (GB)
- 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
- 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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