RoB 2: Learning Live webinar series: Bias due to missing outcome data
Julian Higgins (Professor of Evidence Synthesis,) and Jonathan Sterne (Professor of Medical Statistics and Epidemiology), Department of Population Health Sciences, University of Bristol.
online
A series of nine Cochrane Learning Live webinars, all dedicated to Risk of Bias 2 (RoB 2), hosted by Cochrane Training.
This is the fourth webinar in our RoB 2 Learning Live series, and will explain how to use the third domain of the RoB 2: bias due to missing outcome data. We will explain when bias arises and introduce the signalling questions for the domain. We will cover how to determine when sensitivity analyses provide evidence that a result was not biased by missing outcome data, and we will discuss how to assess whether missingness in the outcome depends on its true value, which is the key consideration in the domain. 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 from missing outcome data 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.