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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group Ltd. 2016
Materias:
Research Methods & Reporting
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062054/
https://www.ncbi.nlm.nih.gov/pubmed/27733354
http://dx.doi.org/10.1136/bmj.i4919

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5062054/
https://www.ncbi.nlm.nih.gov/pubmed/27733354
http://dx.doi.org/10.1136/bmj.i4919

Ejemplares similares