Sterne, Jonathan Ac; Hernán, Miguel A; Reeves, Barnaby C; Savović, Jelena; Berkman, Nancy D; Viswanathan, Meera; Henry, David; Altman, Douglas G; Ansari, Mohammed T; Boutron, Isabelle; +25 more... Carpenter, James R; Chan, An-Wen; Churchill, Rachel; Deeks, Jonathan J; Hróbjartsson, Asbjørn; Kirkham, Jamie; Jüni, Peter; Loke, Yoon K; Pigott, Theresa D; Ramsay, Craig R; Regidor, Deborah; Rothstein, Hannah R; Sandhu, Lakhbir; Santaguida, Pasqualina L; Schünemann, Holger J; Shea, Beverly; Shrier, Ian; Tugwell, Peter; Turner, Lucy; Valentine, Jeffrey C; Waddington, Hugh; Waters, Elizabeth; Wells, George A; Whiting, Penny F; Higgins, Julian Pt; (2016) ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ (Clinical research ed), 355. i4919-. ISSN 0959-8138 DOI: https://doi.org/10.1136/bmj.i4919
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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.
Item Type | Article |
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Faculty and Department |
Faculty of Epidemiology and Population Health > Dept of Medical Statistics Faculty of Infectious and Tropical Diseases > Dept of Disease Control |
Research Centre | ?? 208138 ?? |
PubMed ID | 27733354 |
ISI | 385857500001 |
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Filename: ROBINS-I a tool for assessing risk_GOLD VoR.pdf
Licence: Creative Commons: Attribution-Noncommercial 3.0
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