We regularly offer short courses, which are a great way to sharpen your skills and knowledge within health economics.  Currently we have two online offerings for 2024 presented in collaboration with colleagues at Centre for Health Economics at the University of York.

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.

Foundations of Decision Modelling for Economic Evaluation - Online Course

  

Overview

This is an online course, over the period of three 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 cost effectiveness analysis. 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
• *NEW* 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 would be expected to have attended a general course in economic evaluation such as York expert workshops offered by the University of York or have received equivalent training. 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	Lectures & exercises available (asynchronous)	Approximate time to be allocated by student	Date & time for (synchronous) Q&A
Introductions and policy background	From 29 April 2024	1 hour	3 May 2024, 1pm BST
Module 1 Framing, planning and conceptualisation	From 3 May 2024	3 hours	10 May 2024, 1pm BST
Module 2 Decision trees	From 10 May 2024	3 hours	17 May 2024, 1pm BST
Module 3 Markov models	From 17 May 2024	3 hours	24 May 2024, 1pm BST
Module 4 Diagnostics	From 24 May 2024	3 hours	31 May 2024, 1pm BST
Close-out Further analytical steps	From 31 May 2024	1 hour	5 June 2024, 1pm BST

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  

2023	Public/academic sector	Commercial sector
Foundations Course	£700.00	£995.00

Book onto a course

Faculty and tutors

Course leads

• Andrew Briggs, Professor, London School of Hygiene & Tropical Medicine
• Mark Sculpher, Professor, Centre for Health Economics, University of York

Module leads

• Alec Miners, Associate Professor, London School of Hygiene & Tropical Medicine
• 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.
• Jack Williams, Research Fellow, London School of Hygiene & Tropical Medicine

Advanced Decision Modelling for Economic Evaluation - Online Course

  

Overview

An online course consisting of four modules over four 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 
• *NEW* 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	Lectures & exercises available (asynchronous)	Approximate time to be allocated by student	Date & time for (synchronous) Q&A
Introductions and policy background	From 3 June 2024	1 hour	7 June 2024, 1pm BST
Module 1 Advanced Markov Models	From 7 June 2024	4 hours	14 June 2024, 1pm BST
Module 2 Probabilistic analysis	From 14 June 2024	4 hours	21 June 2024, 1pm BST
Module 3 Presenting results	From 21 June 2024	4 hours	28 June 2024, 1pm BST
Module 4 Value of Information	From 28 June 2024	4 hours	5 July 2024, 1pm BST
Close-out: Summary and further elements	From 5 July 2024	1 hour	10 July 2024, 1pm BST

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

2023	Public/academic sector	Commercial sector
Advanced Course	£995.00	£1450.00

Book onto a course

Faculty and tutors

Course leads

• Andrew Briggs, Professor, London School of Hygiene & Tropical Medicine
• Mark Sculpher, Professor, Centre for Health Economics, University of York

Module leads

• Alec Miners, Associate Professor, London School of Hygiene & Tropical Medicine
• 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.
• Jack Williams, Research Fellow, London School of Hygiene & Tropical Medicine