Thursday 15 November 2018, 12.15PM to 1.15pm
Speaker(s): Dr Alexina Mason, LSHTM
Abstract: Health economics studies with missing data are increasingly using approaches such as multiple imputation that assume that the data are 'missing at random'. This assumption is often questionable, as-even given the observed data-the probability that data are missing may reflect the true, unobserved outcomes, such as the patients' true health status. In these cases, methodological guidelines recommend sensitivity analyses to recognise data may be 'missing not at random' (MNAR), and call for the development of practical, accessible approaches for exploring the robustness of conclusions to MNAR assumptions.
Little attention has been paid to the problem that data may be MNAR in health economics in general and in cost‐effectiveness analyses (CEA) in particular. In this talk, I will discuss a Bayesian framework for CEA where outcome or cost data are missing, that we proposed in a recently published paper (https://doi.org/10.1002/hec.3793). This framework includes a practical, accessible approach to sensitivity analysis that allows the analyst to draw on expert opinion. We illustrate the framework in a CEA comparing an endovascular strategy with open repair for patients with ruptured abdominal aortic aneurysm. I will also demonstrate the latest version of the elicitation app developed to implement this approach, and discuss our plans for further research.
Location: Alcuin A Block A019/20
Who to contact
For more information on these seminars, contact:Thomas Patton
Economic evaluation seminar dates
- Thursday 17 January
Edward Cox, CHE, University of York
- Thursday 21 February
Sebastian Hinde, CHE, University of York
- Thursday 21 March
Alessandro Grosso, CHE, University of York