Overview

Overview

A 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.

The course is aimed at health economists and those health professionals with experience of health economics who wish to learn about recent methodological 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 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.

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
• understand how to incorporate various forms of meta-analysis into probabilistic decision models

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 York expert workshops offered by the University of York. The course with be based in a computer laboratory with each participant being given access to a computer with Microsoft Excel installed. Each module will involve computer work on exercises which will be built up over the three days. A familiarity with Microsoft Excel is essential.

Course dates

Course dates

York, England

• Wednesday 21 - Friday 23 March 2012 

Glasgow, Scotland

• 12 - 14 September 2012 
• Contact details 

Programme

Course programme

Day one -Wednesday 21 March 2012

• Introduction: 10:00am
  
• Module 1: Markov modelling
  • review of rationale for models and deterministic models
  • overview of Markov models
  • advanced concepts in Markov models and building a deterministic Markov model in Excel
  • building time dependency into Markov models
• Evening social event: Drinks reception

Day two - Thursday 22 March 2012

• Module 2: Probabilistic modelling
  • 2nd order Monte Carlo
  • dealing with distributions
  • programming Excel
  • using regression analysis to populate models
• Module 3: Presenting the results of probabilistic modelling
  • presenting results from probabilistic models (net benefits, cost-effectiveness acceptability curves, sub-groups)
• Evening social event: Course dinner

Day three - Friday 23 March 2012

• Module 4: Value of information analysis
  • value of information methods
  • development of EVPI
  • introduction to EVSI
• Evidence synthesis in probabilistic models
  • metrics used in meta-analysis
  • fixed and random effects models
  • indirect and mixed treatment comparisons
• course ends (4:00pm)

Presenters

Faculty

In addition to the presenters below, tutors from CHE will be involved in all exercises to ensure that there will be approximately one faculty member for every four participants.

Andrew Briggs

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.

Karl Claxton

Karl Claxton, DPhil, Professor of Economics in the Team for Economic Evaluation and Health Technology Assessment in the Centre for Health Economics, and in the 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.

Liz Fenwick

Liz Fenwick , DPhil, Senior Lecturer in Health Economics, Health Economics Assessment Team, Section of Public Health and Health Policy, University of Glasgow. Liz’s research interests centre around the application of decision analytic modelling to Health Technology Assessment, economic evaluation of health care technologies, probabilistic decision analytic modelling, Bayesian decision theory and value of information analysis. Her thesis presented an iterative framework for the efficient management of the HTA process incorporating probabilistic decision analytic modelling, value of information analysis and Bayesian updating. Her current research includes expanding this framework to incorporate and assess the value of implementation strategies. 

Stephen Palmer

Stephen Palmer , MSc, is a Senior Research Fellow and Deputy Director of the Team for Economic Evaluation and Health Technology Assessment at the Centre for Health Economics, University of York. He has worked in economic evaluation for over 15 years in areas including pharmaceuticals, cardiology, cancer, mental health, diagnostic and screening programmes and policy. He has extensive experience of health economic evaluation, regulatory and reimbursement processes. His principal areas of expertise relate to the methodology and application of decision-analytic modelling and Bayesian approaches to Health Technology Assessment.  He has worked closely with policy makers and currently leads the programme of work at CHE for the National Institute for Health and Clinical Excellence (NICE) and he is also a member of the NICE Decision Support Unit.  He has advised policy makers internationally including in the US and Canada. He is currently a member of the NICE Technology Appraisal Committee and the NIHR Research for Patient Benefit Programme. 

Mark Sculpher

Mark Sculpher, PhD, Director of the Team for Economic Evaluation and Health Technology Assessment, Centre for Health Economics, University of York, is a 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.

Registration

Registration

The course is now full, please send further enquiries to Linda at che-admod@york.ac.uk.

Fees

Fees are fully inclusive of tuition, lunch, course dinner and course materials, but do not include accommodation. VAT is not payable. Transferring between courses is not possible.

Cancellations and alterations

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 to che-admod@york.ac.uk. 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.

Accommodation

A limited amount of accommodation is available on campus, allocated on a first come, first serve basis. This can be booked direct with the University Conference Office. Please quote the following reference: MODEL12 in the promotional code box to ensure you are charged the special rate of £42.00 per person per night. 

Alternatively, there are a large number of hotels and guest houses in York.  http://www.tripadvisor.co.uk/Tourism-g186346-York_North_Yorkshire_England-Vacations.html or  http://www.visityork.org/accommodation/