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ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

Author(s)
Hernan, Miguel Angel
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Creative Commons Attribution-NonCommercial 3.0 Unported https://creativecommons.org/licenses/by-nc/3.0/
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Abstract
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 (individuals or clusters of individuals) to comparison groups. The tool will be particularly useful to those undertaking systematic reviews that include non-randomised studies.
Date issued
2016-10
URI
http://hdl.handle.net/1721.1/109604
Department
Harvard University--MIT Division of Health Sciences and Technology
Journal
BMJ
Publisher
BMJ Publishing Group
Citation
Sterne, Jonathan AC et al. “ROBINS-I: A Tool for Assessing Risk of Bias in Non-Randomised Studies of Interventions.” BMJ (2016): i4919. © 2017 BMJ Publishing Group Ltd
Version: Final published version
ISSN
1756-1833
0959-8138

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