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...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
الحاوية / القاعدة:BMJ
المؤلفون الرئيسيون: 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
التنسيق: Artigo
اللغة:Inglês
منشور في: BMJ Publishing Group Ltd. 2016
الموضوعات:
Research Methods & Reporting
الوصول للمادة أونلاين: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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