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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 · BMJ · 2019

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Author / responsible party
Jonathan A C Sterne; Jelena Savović; Matthew J. Page; Roy G. Elbers; Natalie Blencowe; Isabelle Boutron; Christopher J Cates; Hung‐Yuan Cheng
Publisher
BMJ
Year
2019
Language
English

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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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APA 7

Sterne, J. A. C, Savović, J, Page, M. J, Elbers, R. G, Blencowe, N, Boutron, I, Cates, C. J, & Cheng, H. (2019). RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. https://doi.org/10.1136/bmj.l4898

MLA

Sterne, Jonathan A C, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ, 2019. https://doi.org/10.1136/bmj.l4898.

Chicago

Sterne, Jonathan A C, Jelena Savović, Matthew J. Page, Roy G. Elbers, Natalie Blencowe, Isabelle Boutron, Christopher J Cates, and Hung‐Yuan Cheng. 2019. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. https://doi.org/10.1136/bmj.l4898.

Harvard

Sterne, J. A. C. et al. 2019, RoB 2: a revised tool for assessing risk of bias in randomised trials, BMJ, available at: https://doi.org/10.1136/bmj.l4898 [Accessed 9 Aug. 2026].

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Title
RoB 2: a revised tool for assessing risk of bias in randomised trials
Author / contributors
Jonathan A C Sterne; Jelena Savović; Matthew J. Page; Roy G. Elbers; Natalie Blencowe; Isabelle Boutron; Christopher J Cates; Hung‐Yuan Cheng
Publisher
BMJ
Publication year
2019
Language
English

Subjects

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Systematic review; Medicine; Randomized controlled trial; Publication bias; Clinical trial; MEDLINE; Computer science; Meta-analysis; Medical physics; Internal medicine; Law; Political science
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