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Advanced Modelling Methods for Health Economic EvaluationA three-day course focusing on advanced modelling methods for economic evaluation. This course is a collaboration between the University of Glasgow and the Centre for Health Economics at the University of York
Next course:
29th - 31st March 2010: York, England. This course in now full, if you would like your details adding to the waiting list, please email Liz Ingham on ei1@york.ac.uk
A version of this course is also being held in Bangkok, Thailand 28-30 July 2010 in collaboration with McMaster University and HITAP. For further details please click here.
15th - 17th September 2010: Glasgow, Scotland. For further details please click here.
Teaching Room at York
Overview
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 of the course?
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 models and undertaking value of information analysis.
See programme below for further details.
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 York. The course with be based in a computer laboratory with each participant being given access to a PC with Microsoft ExcelTM installed. Each module will involve computer work on exercises which will be built up over the three days.
A familiarity with Microsoft ExcelTM is essential.
Programme
Morning Afternoon Evening Day One 10.30am: Introduction
Module 1: Markov modelling
- Review of rationale for models & deterministic models
- Overview of Markov models
- Advanced concepts in Markov models & building a deterministic Markov model in Excel
- Building time dependency into Markov modelsDay Two Module 2: Probabilistic modelling
- 2nd order Monte Carlo
- Dealing with distributions
- Programming Excel
- Using regression analysis to populate modelsModule 3: Presenting the results of probabilistic modelling
- Presenting results from probabilistic models (net benefits, cost-effectiveness acceptability curves, sub-groups)
Dinner
Day Three Module 4: Value of information analysis
- Value of information methods
- Development of EVPI
- Introduction to EVSI
Workshop on participants own models
4.00pm Course ends
Accommodation
A limited number of en suite rooms are available on campus [allocated on a first come first served basis] and these can be booked through the course administrator once you have registered. The cost of this accommodation is additional to the course fee.
Alternatively, there are a large number of hotels in York - see:
http://www.yorkpress.co.uk/tourism/wheretostay/hotels/
http://www.yorkpress.co.uk/tourism/wheretostay/guesthouses/
Registration fees
Public/Academic Sector £950.00 Commericial Sector £1480.00 Vat is not payable.
Fees are fully inclusive of tuition, lunch, course dinner and course materials, but do not include accommodation. A limited amount of accommodation is available on campus, allocated on a first come first served basis.
Transferring between courses is not possible.
Cancellation
A full refund of course fees (less 10% administrative charge) will be made for cancellations received in writing at least one month prior to the workshop
Substitutes can be made but please email new delegates details when known (Liz Ingham).
Cancellations made less than one month prior to the workshops are non-refundable/non-changeable.
In the unlikely event that, due to unforeseen circumstances, the course has to be cancelled by the University of York, our liability is limited to refund of workshop fees. We recommend delegates have adequate insurance cover to claim any travel or personal expenses.
Faculty
Andrew Briggs, DPhil, Public Health and Health Policy, University of Glasgow was appointed to the Lindsay Chair in Health Policy and Economic Evaluation in June 2005. Previously, he held the position of Reader in Health Economics at the University of Oxford's Health Economics Research Centre (HERC). Andrew has an interest in all aspects of economic evaluation applied to health care, in particular the use of statistical methods for assessing cost and cost effectiveness, and the use of risk/prognostic modelling for making treatment decisions and guiding policy. More details available here
Karl Claxton, DPhil, is Professor of Economics at the Centre for Health Economics and Department of Economics, University of York. His research interests include evaluation on health care technologies, decision analysis, Bayesian decision theory and value of information analysis. More details are available here.
Elisabeth Fenwick, PhD, Public Health and Health Policy, University of Glasgow and MRC Social and Public Health Sciences Unit, Glasgow. Elisabeth is a Lecturer in Health Economics and her research interests include decision modelling in economic evaluation, handling uncertainty and the use of Bayesian methods for health technology in assessment. More details are available here.Mark Sculpher, PhD, Centre for Health Economics, University of York. He is Professor of Health Economics and leads the team for Economic Evaluation and Health Technology Assessment. He has worked on numerous applied economic evaluations including interventions in heart disease, cancer, HIV and respiratory disease. His methodological interests are handling uncertainty and decision analytical modelling. More details are available here.
In addition, tutors from CHE will be involved in all excercises to ensure that there will be approximately one Faculty member for every four participants.
Contact details
Liz Ingham
Course Administrator
Centre for Health Economics
Alcuin A Block
University of York
Heslington
YORK, YO10 5DD, UKTel: +44 (0) 1904 321437
Fax: +44 (0) 1904 321402
Email: ei1@york.ac.ukLast updated February 9, 2010 -->
