Early Economic Modelling to Inform Clinical Trial Design and Other Decisions
Date:
01/07/2016
Organised by:
University of York
Presenter:
Julie Glanville
Level:
Intermediate (some prior knowledge)
Contact:
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:
£200 - 250 (+VAT)
Website and registration:
http://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, ICT and Software, Research Management and Impact, Research Skills, Communication and Dissemination, systematic reviewing, search techniques
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
ICT and Software
Research Management and Impact
Research Skills, Communication and Dissemination