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

Sterne, J.; Hernán, M.; Reeves, B.; Savović, J.; Berkman, N.; Viswanathan, M.; Henry, David; Altman, D.; Ansari, M.; Boutron, I.; Carpenter, J.; Chan, A.; Churchill, R.; Deeks, J.; Hrõbjartsson, A.; Kirkham, J.; Jüni, P.; Loke, Y.; Pigott, T.; Ramsay, C.; Regidor, D.; Rothstein, H.; Sandhu, L.; Santaguida, P.; Schünemann, H.; Shea, B.; Shrier, I.; Tugwell, P.; Turner, Lucy; Valentine, J.; Waddington, H.; Waters, E.; Wells, G.; Whiting, P.; Higgins, J.

doi:10.1136/bmj.i4919

Public

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

Shared by NobleBlocks on Oct 12, 2016 • 12:00 AM UTC

Authors:

J. Sterne

M. Hernán

B. Reeves

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 Interv...

Subject

Medicine

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