This is the third webinar in our RoB 2 Learning Live series, and will explain how to use the second domain of the RoB 2: bias due to deviations from the intended interventions. We will explain the difference between the effect of assignment to the intervention at baseline and the effect of adhering to the intervention as specified in the trial protocol, and we will review the signalling questions within the domain and how to answer them. We will show the algorithm for how answers to signalling questions are mapped to judgements about risk of bias for the domains, along with worked examples.
This session is intended for people who are interested in using RoB 2 to assess risk of bias in their review. In addition to review author teams, CRG editors can learn about the risk of bias due to deviations from the intended interventions so that they are able to assist authors with any queries they may have and also ensure information included in the review for this domain are relevant.
Julian Higgins is Professor of Evidence Synthesis in the University of Bristol’s Department of Population Health Sciences where he is head of the Bristol Appraisal and Review of Research (BARR) group. His research interests span all areas of systematic review and meta-analysis. Among his methods contributions are: a Bayesian approach to network meta-analysis; the I-squared statistic to quantify inconsistency across studies in a meta-analysis; simple prediction intervals for random-effects meta-analysis; a general framework for individual participant data meta-analysis; a library of prior distributions for between-study variation in a meta-analysis; and risk-of-bias assessment tools for clinical trials and other study designs. He has long been an active contributor to Cochrane, is a former member of the Cochrane Collaboration Steering Group, the Cochrane Editorial Board and the Cochrane Scientific Committee, and is currently co-convenor of the Cochrane Bias Methods Group. He has co-edited the Cochrane Handbook for Systematic Reviews of Interventions since 2003.
Jonathan Sterne is Professor of Medical Statistics and Epidemiology in the University of Bristol’s Department of Population Health Sciences, and Deputy Director of the NIHR Bristol Biomedical Research Centre. He has a longstanding interest in methodology for systematic reviews and meta-analysis, led development of the ROBINS-I tool for assessing risk of bias in non-randomised studies of interventions, and co-leads development of version 2 of the Cochrane risk of bias tool for randomised trials. He leads a large-scale collaboration of HIV cohort studies that led to advances in our understanding of prognosis of HIV positive people in the era of effective antiretroviral therapy. Jonathan is a former co-convenor of the Cochrane Bias Methods Group. He has published influential papers on reporting bias in meta-analysis, meta-epidemiology, causal inference and statistical methodology.
You will need a Cochrane Account to sign up for this webinar. If you don’t have a Cochrane Account you will be able to register for free on the following page. You will be able to use this account for all future activity. A brief guidance on how to sign up using your Cochrane Account is available here and if you have any problems, please contact firstname.lastname@example.org