Decision analytic modelling is widely used internationally as a means of estimating the costs, outcomes and cost-effectiveness of different interventions and programmes in health care and public health. In particular, these methods are often employed to assess the value of new pharmaceuticals as a basis for health systems to determine whether they should be funded.
Our Foundations and Advanced courses have been running on campus for a number of years, and we have now developed online versions in collaboration with the London School of Hygiene and The Conference Consultancy.
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Foundations
Online Foundations Course
Overview
This is an online course, over the period of 5.5 weeks, providing an introduction to the principles and practice of decision modelling for economic evaluation in health.
The course is aimed at health economists and those health professionals with experience of health economics who wish to develop skills and knowledge in decision analysis for purposes of economic evaluation It is designed for participants who are familiar with the basic principles of economic evaluation who wish to build, interpret and appraise decision models. It is envisaged that participants will currently be undertaking economic evaluation within the pharmaceutical and medical device industries, consultancy, academia, government or the health system.
Teaching methods
- Four modules together with introduction, policy context and closing sections
- ‘Bite-size’ video presentations from members of the Faculty for each module
- Computer-based exercises using MS Excel
- Alternative ‘R’-based exercise track for those already familiar with R
- Video ‘run-through’ of each exercise by members of the Faculty
- Online discussion forums monitored by Faculty and tutors
- One ‘live’ question and answer session for each module with Module leads
Objectives
By the end of the course, participants will be able to:
- Consider the role of decision modelling in economic evaluation to guide decision making
- Use the basic building blocks of decision analysis such as joint and conditional probabilities and expected values
- Implement the principles of conceptual modelling as a way of planning a model
- Understand the strengths and weaknesses of the decision tree model and build such a model in Excel
- Understand the strengths and weaknesses of Markov modelling and build such a model in Excel
- Build a model for a generic diagnostic test and understand how to assess the value of diagnostic information
- Think critically about the structure of decision models in particular situations and apply these appropriately
Prerequisites
Participants are expected to be familiar with the methods of economic evaluation. This could be based on previous course attendance, or having studied a relevant textbook such as Drummond et al. Methods for the Economic Evaluation of Health Care Programmes, Oxford: OUP, 4th Edition, 2015. A familiarity with Microsoft Excel is essential, as is a familiarity with ‘R’ for those wishing to follow the new R-based exercise track.
Outline programme
Topic
|
Approximate time to be allocated by student
|
Introductions and policy background
|
1 hour
|
Module 1 Framing, planning and conceptualisation
|
3 hours
|
Module 2 Decision trees
|
3 hours
|
Module 3 Markov models
|
3 hours
|
Module 4 Diagnostics
|
3 hours
|
Close-out Further analytical steps
|
1 hour
|
Please note that the exact programme is subject to change although the material covered will remain largely the same
Fees
VAT is not payable. Transferring between courses is not possible. Registration fees are payable in advance of the Course dates and are fully inclusive of:
- All course materials
- Access to online teaching platform
- Support forums
- Live Q&A sessions
2024 |
Public/academic sector |
Commercial sector |
Foundations
Course
|
TBC |
TBC |
Access the course website for booking here.
Advanced
Online Advanced Course
Overview
An online course consisting of four modules over 6 weeks and focusing on advanced methods of decision analytic modelling for economic evaluation.
The course is aimed at health economists and those health professionals with experience of health economics who wish to learn about recent methods developments in cost-effectiveness analysis. It is designed for participants who are familiar with basic decision modelling who wish to learn how to use more advanced modelling methods. It is particularly suitable for those who have attended our Foundation Course in Modelling Methods for Health Economic Evaluation. It is envisaged that participants will currently be undertaking modelling for health economic evaluation.
Teaching methods
- Four modules together with introduction, policy context and closing sections
- ‘Bite-size’ video presentations from members of the Faculty for each module
- Computer-based exercises using MS Excel
- Alternative ‘R’-based exercise track for those already familiar with R
- Video ‘run-through’ of each exercise by members of the Faculty
- Online discussion forums monitored by Faculty and tutors
- One ‘live’ question and answer session for each module with module leads
Objectives
By the end of the course, participants will be able to:
- Model and populate a Markov model with time-dependent probabilities based on the results of parametric survival modelling
- Develop a probabilistic model to reflect parameter uncertainty and to run Monte Carlo simulation
- Present the results of a probabilistic model using net benefits and cost-effectiveness acceptability curves
- Assess the expected value of perfect information
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, and to be familiar with foundations level decision analysis (see Foundations course). Each module will involve computer work on exercises which will be built up over the three days. A familiarity with Microsoft Excel is essential, as is a familiarity with ‘R’ for those wishing to follow the new R-based exercise track.
Outline programme
Topic
|
Approximate time to be allocated by student
|
Introductions and policy background
|
1 hour
|
Module 1 Advanced Markov Models
|
4 hours
|
Module 2 Probabilistic analysis
|
4 hours
|
Module 3 Presenting results
|
4 hours
|
Module 4 Value of Information
|
4 hours
|
Close-out: Summary and further elements
|
1 hour
|
Please note that the exact programme is subject to change although the material covered will remain largely the same
Fees
VAT is not payable. Transferring between courses is not possible. Registration fees are payable in advance of the Course dates and are fully inclusive of:
- All course materials
- Access to online teaching platform
- Support forums
- Live Q&A sessions
2025 |
Public/academic sector |
Commercial sector |
Advanced Course
|
TBC
|
TBC
|
Access the course website for booking here.
Faculty
Faculty and tutors
Course leads
Mark Sculpher, Professor, Centre for Health Economics, University of York
Andrew Briggs, Professor, London School of Hygiene and Tropical Medicine
Module leads
Karl Claxton, Professor, Centre for Health Economics, University of York
Stephen Palmer, Professor, Centre for Health Economics, University of York
Claire Rothery, Senior Research Fellow, Centre for Health Economics, University of York
Tutors
Nichola Naylor, Honorary Research Fellow, London School of Hygiene & Tropical Medicine
David Glynn, Research Fellow, Centre for Health Economics, University of York
Jessica Ochalek, Research Fellow, Centre for Health Economics, University of York
Shainur Premji, Research Fellow, Centre for Health Economics, University of York
Fees
Fees
VAT is not payable. Transferring between courses is not possible. Registration fees are payable in advance of the Course dates and are fully inclusive of:
- All course materials
- Access to online teaching platform
- Support forums
- Live Q&A sessions
2025 |
Public/academic sector |
Commercial sector
|
Foundations Course |
TBC |
TBC |
Advanced Course |
TBC |
TBC |
To register for either course, visit the course website here.
On Demand
From Q2 2023 the course materials will also be available "On Demand" so that they can be accessed outside of the formal course period, priced the same as the "live" version of the course. With "On Demand", there will not be any live Q&A sessions but you will receive tutor support through the discussion boards. Please see the course website for further information, or email he-evalcourses@openaudience.com to be added to a mailing list to be informed when the "On Demand" courses are launched.