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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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1136/ebmed-2017-110883

Authors

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Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Oxford college:
Trinity College
Role:
Author
ORCID:
0000-0003-4597-1276
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care; Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Primary Care Health Sciences; PHC-Madox
Oxford college:
Kellogg College
Role:
Author
ORCID:
0000-0003-1131-9714


Publisher:
BMJ Publishing Group
Journal:
Evidence Based Medicine More from this journal
Volume:
23
Issue:
1
Pages:
21-22
Publication date:
2018-01-24
Acceptance date:
2017-12-01
DOI:
EISSN:
2515-4478
ISSN:
2515-446X
Pmid:
29367321


Language:
English
Keywords:
Pubs id:
pubs:823239
UUID:
uuid:371ef2f4-db96-44e4-93de-3457524e73ca
Local pid:
pubs:823239
Source identifiers:
823239
Deposit date:
2018-05-01
ARK identifier:

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