Online Courses in Decision Modelling for Health Economic Evaluation

Foundations

Online Foundations 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.

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Outline programme

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  

Access the course website for booking here.

Advanced

Online Advanced 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

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

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

Alec Miners, Associate Professor, London School of Hygiene and Tropical Medicine

Tutors

Nichola Naylor, Honorary Research Fellow, London School of Hygiene & Tropical Medicine.

Jack Williams, Research Fellow, London School of Hygiene and Tropical Medicine

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

To register for either course, visit the course website here.