RoB 2: a revised tool for assessing risk of bias in randomised trials

Jonathan A C Sterne, Jelena Savović, Matthew J. Page, Roy G. Elbers, Natalie Blencowe, Isabelle Boutron, Christopher J Cates, Hung‐Yuan Cheng, Mark Corbett, Sandra Eldridge, Jonathan Emberson, Miguel A. Hernán, Sally Hopewell, Asbjørn Hróbjartsson, Daniela R. Junqueira, Peter Jüni, Jamie J Kirkham, Toby J Lasserson, Tianjing Li, Alexandra McAleenan, Barnaby C Reeves, Sasha Shepperd, Ian Shrier, Lesley Stewart, Kate Tilling, Ian R. White, Penny Whiting, Julian P. T. Higgins

BMJ, 2019

University of Bristol, NIHR Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, Monash University, Délégation Paris 5, Inserm, Université Paris Cité, St George's, University of London, University of York, Queen Mary University of London, University of Oxford, MRC Epidemiology Unit, Harvard–MIT Division of Health Sciences and Technology, Nuffield Orthopaedic Centre, University of Southern Denmark, Odense University Hospital, University of Alberta, St. Michael's Hospital, University of Manchester, Cochrane, Johns Hopkins University, Jewish General Hospital, McGill University, MRC Clinical Trials Unit at UCL, University College London

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Abstract

This research paper explore the methodology and findings associated with BMJ. The study delves into the core aspects of the research field, providing significant data and citation impact. (Full abstract processing is available via the OpenAlex API).

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RoB 2: a revised tool for assessing risk of bias in randomised trials

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