RoB 2: a revised tool for assessing risk of bias in randomised trials
Jonathan A C Sterne(University of Bristol), Jelena Savović(University Hospitals Bristol NHS Foundation Trust), Matthew J. Page(Monash University), Roy G. Elbers(University of Bristol), Natalie Blencowe(University of Bristol), Isabelle Boutron(Délégation Paris 5), Christopher J Cates(St George's, University of London), Hung‐Yuan Cheng(University of Bristol), Mark Corbett(University of York), Sandra Eldridge(Queen Mary University of London), Jonathan Emberson(University of Oxford), Miguel A. Hernán(Harvard–MIT Division of Health Sciences and Technology), Sally Hopewell(Nuffield Orthopaedic Centre), Asbjørn Hróbjartsson(University of Southern Denmark), Daniela R. Junqueira(University of Alberta), Peter Jüni(St. Michael's Hospital), Jamie J Kirkham(University of Manchester), Toby J Lasserson(Cochrane), Tianjing Li(Johns Hopkins University), Alexandra McAleenan(University of Bristol), Barnaby C Reeves(University of Bristol), Sasha Shepperd(University of Oxford), Ian Shrier(Jewish General Hospital), Lesley Stewart(University of York), Kate Tilling(University of Bristol), Ian R. White(MRC Clinical Trials Unit at UCL), Penny Whiting(University Hospitals Bristol NHS Foundation Trust), Julian P. T. Higgins(University Hospitals Bristol NHS Foundation Trust)
Cited by 30,081Open Access
Abstract
Assessment of risk of bias is regarded as an essential component of a systematic review on the effects of an intervention. The most commonly used tool for randomised trials is the Cochrane risk-of-bias tool. We updated the tool to respond to developments in understanding how bias arises in randomised trials, and to address user feedback on and limitations of the original tool.
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