Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Robins-I: A Tool For Assessing Risk Of Bias In Non-Randomised Studies Of Interventions, Jonathan A.C. Sterne, Miguel A. Hernán, Barnaby C. Reeves, Jelena Savovic, Nancy D. Berkman, Meera Viswanathan, David Henry, Douglas G. Altman, Mohammed T. Ansari, Isabelle Boutron, James R. Carpenter, An-Wen Chen, Rachel Churchill, Jonathan J. Deeks, Asbjørn Hróbjartsson, Jamie Kirkham, Peter Jüni, Yoon K. Loke, Theresa D. Pigott, Craig R. Ramsay, Deborah Regidor, Hannah R. Rothstein, Lakhbir Sandhu, Pasqualina L. Santaguida, Holger J. Schünemann, Beverly Shea, Ian Shrier, Peter Tugwell, Lucy Turner, Jeffrey C. Valentine, Hugh Waddington, Elizabeth Waters, George A. Wells, Penny F. Whiting, Julian Pt Higgins

Publications and Research

Non-randomized 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-randomized Studies - of Interventions”), a new tool for evaluating risk of bias in estimates of the comparative effectiveness (harm or benefit) of interventions from studies that did not use randomization to allocate units (individuals or clusters of individuals) to comparison groups. The tool will be particularly useful to those undertaking systematic reviews that include non-randomized studies.