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News from Theme 1: January 2017

17 January 2017

Joanna Thorn presents paper at the Health Economists' Study Group winter meeting.

Joanna Thorn (in collaboration with Matt Franklin, University of Sheffield) presented a paper entitled 'Self-reported and electronic resource-use data for trial-based economic evaluations: the current state of play in England and considerations for the future' at the Health Economists' Study Group winter meeting this month in Birmingham.  The paper aimed to help health economists with choosing an appropriate source of resource-use data to use in a randomised controlled trial by summarising available database sources and comparing their pros and cons with the more traditional patient questionnaire.

 

RoB 2.0 tool launched at Cochrane Colloquium, South Korea.

The revised risk of bias assessment tool for RCTs (RoB 2.0) was officially launched at the Cochrane Colloquium in Seoul, South Korea in October. The tool and the full guidance were published on www.riskofbias.info.  This is the 'beta' version of the tool, which is currently being extensively tested by users in the 'real world' to inform possible improvements until a final version has been achieved later in 2017.  A collaboration has been set up with several review groups to contribute to a validity study.  Formal talks about implementation of the tool in Cochrane will take place at the Cochrane mid-year meeting in March 2017 in Geneva.

 

Network grant obtained from HTMR

Howard Thom, together with Nicky Welton, obtained a network grant from the Hubs for Trials Methodology Research to apply advanced sampling schemes from mathematical finance to the efficient estimation of value of information for trial design.  This is an inter-disciplinary collaboration with professor Mike Giles from the University of Oxford, an expert in multilevel Monte Carlo methods, Professor Christophe Andrieu from the School of Mathematics in Bristol, and Chris Jackson from the Biostatistics Unit at University of Cambridge.

 

'Extrapolation of RCT-based survival curves using external information' published. 

Patricia Guyot, Nicky Welton and colleagues have published a new method to help predict long-term survival benefits of new treatments by combining results from RCTs (with relatively short follow-up) with evidence from registries with longer follow-up: Guyot PG, Ades AE, Beasley M, Pignon J-P, Beranger L, Welton NJ. Extrapolation of RCT- based survival curves using external information.  Medical Decision Making. Published online: September  28, 2016. DOI: 10.1177/0272989X16670604.

 

Nicky Welton to contribute sessions at summer school on Bayesian Methods in Heath Economics.

Nicky Welton is contributing sessions of Value of Information in the forthcoming summer school on Bayesian Methods in Health Economics, Florence, 12-16 June 2017, CISL Study Centre, Florence (Italy).  Full details can be found on the summer school webpage.

 

MRC Methodology Research grant awarded

Nicky Welton, Tony Ades, Sofia Dias and David Phillippo have been awarded an MRC Methodology Research grant to explore calibration methods to adjust for differences in covariates across trials in network meta-analysis.

 

 

 

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