Please note that this course is being administered by The Continuing for Professional Development Unit who can be contacted on cpd@york.ac.uk.
It is envisaged that participants interested in attending these courses are people currently undertaking, reviewing or commissioning analyses of health economics and outcomes research (HEOR) data, within the pharmaceutical and medical device industries, consultancy, academia or the health service.
If you are interested in being added to the mailing list to receive information or updates specifically relating to the above course, please email cpd@york.ac.uk
If you would like to be added to our email mailing list so that you can be notified about our other courses and workshops then you can complete this Google form with your details. We do not share your information with any other organisation or person.
The dates for the Advanced course are 10th - 12th September 2024 (3-day in-person course).
This three-day in-person Advanced course focuses on the use of statistical methods for the analysis of individual patient-level cost, effects (e.g. survival and health-related quality of life) and other type of data used in cost-effectiveness analysis for HTA. It is intended for people who wish to learn how to apply (and interpret the results of) more advanced techniques for the analysis of data collected alongside both experimental (e.g. RCTs) and observational (sometimes referred to as “real-world”) studies, where the objective is to estimate within-study quantities (e.g. differential mean costs) or to derive key input parameters to populate economic evaluation models for HTA. The course includes a mixture of taught modules and practical exercises.
Practical exercises will be conducted in Stata® to help participants appreciate how the methods described during the lectures can be used in real life. Some prior knowledge of Stata® is recommended to be able to maximise the learning opportunity offered by the practical exercises. Each participant will be given access to the latest version of the Stata® software. Stata® codes (do-files) required to complete the exercises will be provided and all exercises will be supported by Faculty and a group of tutors.
By the end of the course, participants will be able to:
Please note that the exact programme is subject to change although the material covered will remain largely the same.
This course uses a simulated, but realistic, patient-level dataset to illustrate the key concepts, which are like building blocks introduced with increasing sophistication. Ultimately the course aims to show students how to analyse these kinds of data to estimate within-study quantities (e.g. differential mean costs) or to derive key input parameters to populate a cost-effectiveness model to inform HTA decisions.
Three-day course
Day one
Day two
Day three
VAT is not payable. Registration fees are payable in advance of the workshop dates and are fully inclusive of:
Please note, accommodation is not covered within the fees.
2024 | Public/academic sector | Commercial sector |
---|---|---|
Advanced Course | £1400 | £1900 |
Before you register on these workshops please ensure you have secured the appropriate funding from your organisation, and (if applicable) that you allow yourself plenty of time to apply for any visas you may require to enter the UK, as you may experience some delay in getting these processed.
VAT is not payable. Registration fees are payable in advance of the workshop dates and are fully inclusive of:
Please note, accommodation is not covered within the fees.
2024 | Public/academic sector | Commercial sector |
---|---|---|
Advanced Course | £1400 | £1900 |
The following cancellation terms apply:-
Standard conditions
- Cancellations made 30 days or more before the programme start date: programme registration fees refunded less a 10% administrative charge.
- Cancellations made less than 30 days before the programme start date: no refund will be given.
For bookings of between 1 and 5 participants from the same organisation.
- Cancellations made 30 days or more before the programme start date: programme registration fees refunded less a 10% administrative charge.
- Cancellations made less than 30 days before the programme start date: no refund will be given. .
For larger bookings of 6 or more participants from the same organisation.
- Cancellations made 60 days or more before the programme start date: programme registration fees refunded less a 10% administrative charge.
- Cancellations made less than 60 days before the programme start date: no refund will be given.
- Should one person from a group booking from the same organisation cancel, substitutes can be made, or the standard conditions apply.
The University of York will not accept responsibility for any additional costs incurred by the participant (for example travel or accommodation arrangements).
In addition to the presenters below, tutors from CHE will be involved in all exercises to ensure that there will be sufficient support to maximise participants’ learning experience.
James Lomas
James Lomas is a Lecturer in the Department of Economics and Related Studies at the University of York. His research interests encompass the economic evaluation of health care technologies, and the care-related determinants of health more generally. His work with policymakers across the world (NHS England and Improvement, Bill and Melinda Gates Foundation, and the Patented Medicines Pricing Review Board (Canada)) has had a substantial global impact on a range of issues related to economic evaluation and pharmaceutical pricing. In 2016, a paper based on James’s doctoral research regarding the application of econometric methods to health care cost data was awarded the American Society of Health Economists’ inaugural Willard Manning Memorial Award for the best paper in the area of health econometrics.
Andrea Manca (course leader)
Andrea is Professor of Health Economics based in the Team for Economic Evaluation and Health Technology Assessment. His research interests include the application of statistical methods for the analysis of cost-effectiveness and health outcomes data, as well as the use of evidence synthesis techniques in economic evaluation to support health care decision making. Andrea has worked in economic evaluations of health technologies in several clinical areas.
Mark Sculpher
Mark is Professor of Health Economics and Director of the Centre for Health Economics.. 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.
Beth Woods
Beth is a Senior Research Fellow in the Team for Economic Evaluation and Health Technology Assessment (TEEHTA). Beth holds a BA in Economics from the University of Cambridge and an MSc in Economic Evaluation in Healthcare from City University. Prior to joining CHE Beth was a Director in the Health Economics team at Oxford Outcomes, a private consulting firm.
Beth has worked on economic evaluations of a range of technologies, including the application of advanced statistical and decision modelling methods. Beth has also contributed to methods in the field, in particular relating to model structuring in oncology, evaluation of pharmaceutical pricing policy, and evaluation and pricing of technologies to address antimicrobial resistance.
Noemi Kreif
Noemi joined the Centre in 2016 as a Research Fellow in Global Health Economics. She holds a PhD (2013) from the London School of Hygiene and Tropical Medicine. Her PhD and post-doctoral (Medical Research Council Early Career Fellowship) work focussed on advancing statistical methods for economic evaluation that uses observational data, resulting in publications in leading health economics and statistics journals, such as Health Economics, Statistical Methods in Medical Research and American Journal of Epidemiology. Her current work is centred on econometric evaluations of health policies in low and middle-income countries, with a continued interest in applying advanced causal inference and machine learning tools.
The foundation course will now run in 2025 , if you are interested in attending the foundation course please email che-statmeth@york.ac.uk and you will be added to our mailing list.
This is a two-day foundations course designed for those wishing to develop an introductory understanding of the fundamental statistical concepts used in economic evaluation for Health Technology Assessment (HTA). The course includes a mixture of taught modules and practical exercises, where participants will learn the relevant statistical concepts and their estimation using the statistical software package Stata®. Although Stata® will be used as a vehicle to demonstrate a variety of statistical concepts in HTA, no prior knowledge of Stata® is required to be able to complete these practical exercises.
The course includes a mixture of presentations from members of the Faculty, together with computer-based exercises using Stata®. Participants are expected to have a basic familiarity with the concepts of cost-effectiveness analysis for Health Technology Assessment (HTA) decisions. Each participant will be given access to the latest version of the Stata® software for them to download to their own laptops for use during the course. Stata® codes (do-files) required to complete the exercises will be provided and all exercises will be supported by Faculty and a group of tutors.
By the end of the course, participants will be able to:
Please note that the exact programme is subject to change although the material covered will remain largely the same.
Day One
Day Two
VAT is not payable. Transferring between courses is not possible. Registration fees are payable in advance of the workshop dates and are fully inclusive of:
2025 | Public/academic sector | Commercial sector |
---|---|---|
Foundations Course | TBC | TBC |
Who to contact
- CPD Unit
Course administrators
cpd@york.ac.uk
Tel: +44 (0)1904 326862
Course dates
- Advanced Course
10th - 12th September 2024- Foundations Course
2025 dates TBC in due course