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Registration for 2017 will be open from August 2016

Please email che-regmeth@york.ac.uk to go on waiting list for registration notification

Regression Methods for Health Economic Evaluation




VAT is not payable

  • Fees are fully inclusive of tuition
  • Lunch
  • Course dinner
  • Course materials
  • Do not include accommodation
 Public/academic sectorCommercial sector
Half-day Stata introduction £175.00 £270.00
3-day course £1025.00 £1595.00

Places on all workshops are available to book right up until Friday 4 March 2016, although it is advisable to book early to avoid disappointment.


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.

Alcuin college


By the end of the course, participants will be able to:

  • know how to apply a range of regression methods suitable for health economic evaluation
  • report and present the output from such analyses to policy makers
  • have experience in applying regression methods for cost-effectiveness analysis in Stata


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 Tuesday 17th March 2015. This will help those who are still climbing the learning curve with Stata to become more familiar with the software environment and basic commands.

Courses comp lab

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 12 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.

Course dates

Course dates

Monday 14 March 2016

  • optional half-day introductory course to STATA
  • 1:00pm - 6:00pm

Tuesday 15 - Thursday 17 March 2016



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. 

Half-day introduction (optional) - 1.00pm to 6.00pm

Participants will be introduced to commands and elements of Stata syntax and gain familiarity with:

  • The Stataworking environment
  • Inputting commands directly or to making use of do-files
  • Storing output as log files
  • Using graphics in Stata

Three-day course

Day one - 9.00am to 6.00pm

  • Economic evaluation for policy decisions
  • Analytical approaches to health economic evaluation using individual patient level data
  • How to specify and fit regression models for cost-effectiveness analysis
  • Ordinary Least Squares (OLS)
  • Seemingly unrelated regression 
  • Evening social event: drinks reception

Day two - 9.00am to 5.30pm

  • Costs, QALYs, net benefits and other outcomes
  • Issues with applying OLS to cost-effectiveness analysis
  • Alternatives to OLS:
    • transformation
    • generalised Linear Models (GLM)
    • two-part models
  • Observational data and selection bias
  • Propensity scores and matching 
  • Evening social event: dinner

Day three 9.00am to 3.45pm

  • Choosing the appropriate analysis for your dataset
  • Survival analysis for time to event data 
  • Regression analysis to inform decision models



Susan Griffin

Susan Griffin, PhD, Centre for Health Economics, University of York. 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.

Andrea Manca 

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  

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

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.



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 one of the following payment options:


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

 Public/academic sectorCommercial sector



3-day course £1025.00 £1595.00

Places on all workshops are available to book right up until Friday 4 March 2016, although it is advisable to book early to avoid disappointment.

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-regmeth@york.ac.ukCancellations 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.


Campus accommodation is organised by the University Conference Office. Information on how to do this will be included in the registration confirmation.  Please note that these rooms are used by students when they are on campus. Aternatively, if you wish to book accommodation off-campus, 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



Who to contact

Course dates

  • Half-day introduction
    Monday 14 March 2016
  • Full course
    Tuesday 15 - Thursday 17 March 2016

2016 CHE short courses in health economics and economic evaluation brochure (PDF  , 1,499kb)