Thursday 21 November 2019, 12.15PM to 1.15pm
Speaker(s): Prof. Sofia Dias, CRD, University of York
Abstract: Meta-analyses are typically used to synthesise evidence from multiple studies, in order to decide which treatment is most effective or cost-effective, out of several alternatives. Often, several measures are used to assess patients’ response to treatment (outcomes) and it is not unusual for randomised trials to report more than one outcome of interest. Separate analyses of each outcome, each typically using different sets of randomised controlled trials, is inefficient and can lead to conflicting conclusions.
Using a joint model for all the outcomes, and adequately incorporating what is known about the relationships between different relative effects, is therefore essential for making decisions based on multiple outcomes and should be incorporated in the standard evidence synthesis framework.
Models incorporating within-trial correlations and outcome relationships, based on what is known from the data generating process, will be presented for some key examples. Although different applications will have different types of evidence structure, and may require bespoke models, it is often possible to incorporate known relationships in trial outcomes into a Bayesian modelling framework.
Implications of this framework for the usual process of systematic review, meta-analysis and economic modelling will also be discussed.
Location: Alcuin A Block, Room A019/020
Who to contact
For more information on these seminars, contact:Thomas Patton
If you are not a member of University of York staff and are interested in attending a seminar, please contact Kerry.email@example.com so that we can ensure we have sufficient space
Economic evaluation seminar dates
- Thursday 21 November
Sofia Dias, CRD, University of York
- Thursday 12 December
Professor John Brazier and Dr Tessa Peasgood
School of Health and Related Research (ScHARR), University of Sheffield
- Thursday 16 January
Simon McNamara, University of Sheffield
- Thursday 20 February
Belen Corbacho, University of York