This course is intended for people currently undertaking health economic evaluations within the pharmaceutical and medical device industries, consultancy, academia or the health service who wish to learn how to use regression methods to analyse individual patient-level cost, effect and cost-effectiveness data. The course includes a mixture of taught modules and practical exercises.
Regression methods is a three-day course focusing on the use of regression analysis methods for health economic evaluation of individual patient-level cost, effect and cost-effectiveness data. This course is run by the Centre for Health Economics at the University of York.
By the end of the course, participants will be able to:
Exercises will be based on Stata and some prior experience of this software would be an advantage. We will provide details of a web-based introductory course in Stata which participants can follow prior to the regression course. Participants will have the option to attend a half-day introductory course on Stata on the afternoon of Monday 15th April 2013. This will help those who are still climbing the learning curve with Stata to become more familiar with the software environment and basic commands.
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 Stata 10 installed. Stata code (do-files) required to complete the exercises will be provided. Participants are expected to have a basic familiarity with the concepts of cost-effectiveness analysis, descriptive statistics and linear regression analysis.
This course will start with simple trial data set and add greater sophistication as building blocks over three days. Topics covered by the course include analysing different types of outcomes, dealing with skewed data, adding individual-level covariates, using seemingly unrelated regression to account for correlation between costs and effects at patient-level, conducting survival analysis, using regression analysis to populate decision analytic models, and presenting the results of the regression-based cost-effectiveness analysis.
Participants will be introduced to commands and elements of Stata syntax and gain familiarity with:
Day one - 9.15am to 6.00pm:
Day two - 9.00am till 6.00pm:
Day three 9.00am to 3.15pm:
Susan Griffin, MSc, Centre for Health Economics, University of York. Susan is 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.
Andrea Manca, PhD, Centre for Health Economics, University of York. 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.
Nigel Rice, PhD, Centre for Health Economics, University of York. Nigel is Professor of Health Economics. His research interests include the application of econometric methods to the analysis of micro-data on health and health care. Recent work in this area include: estimating dynamic panel data models of the determinants of health with reference to the role of income and education; examining health-related attrition bias in panel survey data; investigating the extent of reporting bias and heterogeneity in measures of self-assessed health.
Mark Sculpher, PhD, Centre for Health Economics, University of York. 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. 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.
Registration is managed online: Registration
Fees are fully inclusive of tuition, lunch, course dinner and course materials, but do not include accommodation. VAT is not payable.
|public/academic sector||commercial sector|
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 email@example.com. 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.
Some campus accommodation is available which can be booked directly with the University Conference Office. Information on how to do this will be inlcuded in the registration confirmation. Please note that these rooms are used by students when they are on campus. Aternatively, if you wish to book other accommodation, there are many hotels and guest houses locally and this information will also be included in the registration confirmation.
Who to contact
- Linda Baillie
Tel: +44 (0)1904 321401
- Half-day introduction
Monday 15 April 2013
- Full course
Tuesday 16 - Thursday 18 April 2013
CHE short courses in economic evaluation available for 2013