ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions

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 Interv...

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Détails bibliographiques
Publié dans:BMJ
Auteurs principaux: 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, 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
Format: Artigo
Langue:Inglês
Publié: BMJ Publishing Group Ltd. 2016
Sujets:
Research Methods & Reporting
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC5062054/
https://ncbi.nlm.nih.gov/pubmed/27733354
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/bmj.i4919
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