Who is the course aimed at? The course is designed for participants who are familiar with basic decision modelling who wish to learn how to use more advanced modelling methods. It is envisaged that participants will currently be undertaking modelling for health economic evaluation within the pharmaceutical and medical device industries, consultancy, academia or the health service.
What are the learning objectives? By the end of the course, participants will be able to:
- model and populate a Markov model with and without time-dependent probabilities
- make a model probabilistic to reflect parameter uncertainty and to run Monte Carlo simulation.
- present the results of a probabilistic model using net monetary benefits and cost-effectiveness acceptability curves.
- assess the expected value of perfect information.
What will the course cover? The course will start with standard Markov models and add greater sophistication as building blocks over the 3-day course. This will include adding time dependency to Markov models, making models probabilistic, populating decision models using regression models, presenting the results of probabilistic m odels and undertaking value of information analysis.
This course is based around the book 'Decision Modelling for Health Economic Evaluation' by Andrew Briggs, Karl Claxton and Mark Sculpher, part of the Handbooks in Health Economic Evaluation series.
Software and prerequisites : this is an advanced course focusing specifically on decision modelling. Participants would be expected to have attended a general advanced course in economic evaluation such as that offered by the University of Oxford or the University of York. The course will be 'hands-on', and participants will be expected to bring a laptop computer (and mouse) with Microsoft Excel for use throughout the course. A familiarity with Microsoft Excel is essential as each module will involve Excel-based exercises which will be built up over the three days.
COST : Commercial sector - £1800 Public sector - £1150
Reductions available for multiple bookings. See website for detais or contact [email protected]