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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Bibliografski detalji
Izdano u:BMJ
Glavni autori: 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
Jezik:Inglês
Izdano: BMJ Publishing Group Ltd. 2016
Teme:
Research Methods & Reporting
Online pristup: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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