ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions
Name
Sterne-2016-ROBINS-I_ a tool for assessing ris.pdf
Size
315.19 KB
Format
Adobe PDF
Checksum (MD5)
70522cf2179eb1f4c60035e75ddb5c29
Author(s)
Hernan, Miguel Angel
Date Issued
October 2016
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
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.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Terms of Use
Creative Commons Attribution-NonCommercial 3.0 Unported
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1136/bmj.i4919
