- Abstract:
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Non-randomised studies of the effects of interventions are critical to many areas of healthcare evaluation, but their results may be biased. It is therefore important to understand and appraise their strengths and weaknesses. We developed ROBINS-I (“Risk Of Bias In Non-randomised Studies - of Interventions”), a new tool for evaluating risk of bias in estimates of the comparative effectiveness (harm or benefit) of interventions from studies that did not use randomisation to allocate units (ind...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
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(pdf, 315.2KB)
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- Publisher copy:
- 10.1136/bmj.i4919
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- Publisher:
- BMJ Publishing Group Publisher's website
- Journal:
- BMJ Journal website
- Volume:
- 355
- Pages:
- Article: i4919
- Publication date:
- 2016-01-01
- Acceptance date:
- 2016-08-10
- DOI:
- ISSN:
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1756-1833
- Pubs id:
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pubs:638399
- URN:
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uri:d598a6f8-acde-4716-aada-a9dc9e488e98
- UUID:
-
d598a6f8-acde-4716-aada-a9dc9e488e98
- Local pid:
- pubs:638399
- Copyright holder:
- BMJ Publishing Group
- Copyright date:
- 2016
- Notes:
-
Copyright © 2016 BMJ Publishing Group Ltd. This is an Open Access article distributed in accordance with the
Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license,
which permits others to distribute, remix, adapt, build upon this work
non-commercially, and license their derivative works on different terms,
provided the original work is properly cited and the use is noncommercial.
See: http://creativecommons.org/licenses/by-nc/3.0/.
Journal article
ROBINS-I: a tool for assessing risk of bias in non-randomized studies of interventions
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