Early Economic Modelling to Inform Clinical Trial Design and Other Decisions
Date:
02/07/2019
Organised by:
University of York
Presenter:
Dr Matthew Taylor
Level:
Entry (no or almost no prior knowledge)
Contact:
YHEC general email, 01904323620, yhec@york.ac.uk
Description:
Economic evaluations are increasingly used as tools to inform decision-makers about the cost-effectiveness of health technologies. Such evaluations are often undertaken during the late stages of the technology development (i.e. around the time of product launch or, in some cases, post-launch). However, there is an increasing need for the manufacturers of the technology to appraise the likely cost-effectiveness of the intervention before making decisions on price and indication, as well as to inform the development of clinical trials. The purposes of early economic modelling is to allow the user to determine the relative importance of different parameter inputs, in order to inform decisions on pricing, target populations and prioritisation of further research.
This one-day training session will cover the fundamental aspects of early economic modelling as well as exploring more advanced methods such as value of information analysis.
Cost:
Early bird: £240 (inc VAT)
Full price: £300 (inc VAT)
10% discount when booking Health Utilites for Economic Models taking place on 03 July 2019. Please see our website for further details
Website and registration:
https://www.yhec.co.uk/training/early-economic-modelling/
Region:
Yorkshire and Humberside
Keywords:
Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, Research Management and Impact, Research Skills, Communication and Dissemination
Related publications and presentations:
Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
Research Management and Impact
Research Skills, Communication and Dissemination