This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 779312


Development and application of a tool to combine and use RCT and observational/registry data in economic evaluation

  • To produce guidance on extrapolation of Randomised Clinical Trial (RCT) results using Real World Data (RWD), either observational or registry data, to allow cost-effectiveness analysis (CEA) of new health care technologies to be undertaken

  • To develop a new, publicly accessible platform to allow direct modelling of CEA by Health Technology Assessment (HTA) agencies

  • Extrapolation of health benefits by using different sets of data

  • Assessment and evaluation of existing ways of extrapolation of treatment costs

  • Creation of platform based on Discretely Integrated Condition Event (DICE) simulation, to model health benefits and treatment costs during CEA modelling

  • Pilot using the DICE model with a published HTA guideline and provision of recommendations for modelling the consequences of guidelines, both in general and when using DICE simulation

  • A review of methods used to extrapolate RCT outcomes using Real World Data

  • Guidance relating to the matching of data from RCTs and Observational or Registry data

  • An analysis of the manner in which such matched data can be used for estimation of long-term outcomes

  • Validation of the DICE modelling technique against existing methods

  • Speeding up execution of the DICE Simulation macro

  • Training modules and manuals for HTA staff, reviewers and modelers

Research Update

January 2019 – IMPACT HTA 2nd Project Meeting (Presentation PDF)

January 2020 – IMPACT HTA 3rd Project Meeting (Presentation PPT)

London School of Economics and Political Science

Principal Investigators

Alistair McGuire

Jaime Caro