CORONAVIRUS INFORMATION:
The current issues with COVID-19 resulted in the cancellation of our Spring 2020 Courses. We are actively considering whether to offer online versions of these courses, given the uncertainty of when face-to-face courses may be feasible again.
If you are potentially interested in attending an online version of this course, please email che-statmethd@york.ac.uk
We sincerely apologise for any inconvenience caused in these extraordinary circumstances, and we look forward to continuing to provide our short course offerings to you in the future.
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.
The course takes place on the University of York East Campus - more information is provided in the registration letter.
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®. The course will take place in a computer laboratory within the University of York campus and each participant will have access to a PC with the latest version of the Stata® software installed. Stata® code (do-files) required to complete the exercises will be provided and all exercises will be supported by Faculty and a group of tutors. Participants are expected to have a basic familiarity with the concepts of cost-effectiveness analysis for Health Technology Assessment (HTA) decisions.
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 (9.00am start)
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:
2020 | Public/academic sector | Commercial sector |
---|---|---|
Foundations Course | £ | £ |
This is a three-day advanced course focused on the use of statistical methods for the analysis for 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. The course will take place in a computer laboratory within the University of York campus and each participant will have access to a PC the latest version of the Stata® software installed. 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 - (9.00am start)
Day two
Day three
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:
2020 | Public/academic sector | Commercial sector |
---|---|---|
Advanced Course | £ | £ |
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.
Susan is a Senior Research Fellow based in the team for Economic Evaluation and Health Technology Assessment. Her research interests include the use of decision-analytic models in cost-effectiveness analysis, value of information analysis and the application of methods for economic evaluation in the field of public health. Susan has worked on economic evaluations in the fields of cardiovascular disease, HIV/AIDS, cancer and mental health.
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.
James joined the Team for Economic Evaluation and Health Technology Assessment (TEEHTA) in October 2014. Prior to this he was a PhD student affiliated with the Health, Econometrics and Data Group. holds a BA in Economics from the University of Cambridge and an MSc in Health Economics from the University of York, and has worked at the OECD and the Department of Health (UK) on summer placements. In 2016, Andrew Jones, James Lomas and Nigel Rice were awarded the inaugural Willard G. Manning Memorial Award for the Best Research in Health Econometrics by the American Society of Health Economists.
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 is 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.
Beth is a Senior Research Fellow in the Team for Economic Evaluation and Health Technology Assessment. Prior to joining CHE Beth was a Director in the Health Economics team at Oxford Outcomes, a private consulting firm, where she specialised in applied economic evaluation from 2006-2013. During this time Beth contributed to numerous submissions to the National Institute for Health and Care Excellence (NICE) and other national HTA agencies.
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.
Please register via Credit/Debit card for instant payment and a guaranteed secured place on your chosen course (please note the University of York does not accept American Express cards) University of York online payment store
If you or your organisation cannot pay by credit/debit card please email the Spring Course Coordinator on che-statmeth@york.ac.uk
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:
2020 | Public/academic sector | Commercial sector |
---|---|---|
Foundations Course |
£ |
£ |
Advanced Course | £ | £ |
For bookings of between 1 and 5 people from the same organisation a full refund of course registration fees (less a 10% administrative charge) will be made for cancellations received in writing at least one month prior to each course. Cancellations made less than one month prior to each course are not refundable.
For larger bookings of 6 or more people from the same organisation a full refund of course registration fees (less a 10% administrative charge) will be made for cancellations received in writing at least two months prior to each course. Cancellations made less than two months prior to each course are not refundable.
Substitutes can be made but please email the substitute delegate details as soon as these are known, to che-statmeth@york.ac.uk.
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.
The course takes place on the University of York East Campus - more information is provided in the registration letter.
You are responsible for arranging your own accommodation. Unfortunately, campus accommodation is not available over the Easter break. Some rooms may become available - the University Conference Office can provide updated information. There are many hotels and guest houses locally (Fulford and Heslington are the closest areas) and some of these hotels can be viewed on the following web-sites:
http://www.expedia.co.uk/Fulford-Hotels.d602274.Travel-Guide-Hotels
Who to contact
- Linda Baillie
Course administrator
che-statmeth@york.ac.uk
Tel: +44 (0)1904 321401
Course dates
- Foundations Course
TBA- Advanced Course
TBA
2020 York Summer Workshops (PDF
, 292kb)