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This is an intensive classroom-based course for health economists and health professionals, with some knowledge of health economics, who wish to learn about the methodology of cost-effectiveness analysis as applied in health care. The course will be held face-to-face at the Big Data Institute, University of Oxford

The course will include the following sessions:

- Introduction 

- Health Outcomes

- Resource Use & Costs

- Reporting & Presenting Cost-effectiveness Results

- Introducing a new module (optional attendance) : Analysing Cost-effectiveness-analysis in Stata using patient level data


A new module (ANALYSING COST-EFFECTIVENESS-ANALYSIS IN STATA USING PATIENT LEVEL DATA has been added to this course as a complimentary extra, which will be introduced on the afternoon of Thursday 21 September & taught on Friday 22 September, please see below for full details).



Analytic methods of economic evaluation are applied in health care to address the fundamental economic question of how to allocate scarce health care resources to maximise health gain. This course teaches the latest methods for performing a cost-effectiveness analysis of a healthcare intervention.


Standards of best practice in economic evaluation, required by health technology assessment and reimbursement agencies, and more recently by leading journals, have become more explicit and more demanding over time. The course provides the expertise to use and interpret the guidelines issued by official and professional bodies.

In addition, health economists are increasingly involved in complex studies: for example, conducting economic evaluations alongside large pragmatic trials running over a long period of time with multiple comparisons, multiple endpoints and incomplete patient specific data on resource use and quality of life. Furthermore, even the largest and longest clinical trials do not remove the need for economic modelling, which may be required before, during, after and instead of trials. The course provides the tools for conducting such economic evaluations. The exercises that form part of the course enable participants to learn the techniques by direct experience. 


The course is designed for those who need to perform cost-effectiveness analysis in healthcare and those who need to understand in some depth the issues that health economists face when performing these analyses, hence, researchers and decision makers from public, commercial and academic organisations concerned with healthcare resource allocation. In the quarter century that the course has been running participants have come from a wide variety of organizations and from all over the world. If you are unsure as to whether the course is suitable for you, please email us and we will be happy to advise.

Prospective participants are advised that they will need to bring a laptop with Microsoft Excel. There are no formal prerequisites for attendance, but participants need to be familiar with Microsoft Excel, and to have some prior knowledge of the principles of economic evaluation. If you do not feel confident working in Excel, please click HERE to assess your competency prior to attending the course. 


 - To provide detailed study of the methods of cost-effectiveness analysis for health care interventions

- To give participants ‘hands on’ experience through the use of computer-based exercises with real data

- To broaden the knowledge base of researchers through the use of practical examples and problems

This course is taught in English and a certificate of attendance will be issued post course.

View the full course content  

 The additional module (which will includes two extra sessions) covers key aspects of the course using more advanced techniques

Additional Module (Friday 22 SEptember): Analysing Cost-effectiveness analysis in Stata using patient level data.

This module is offered at no additional charge - to take part, please select this option upon booking 

For the first time the Applied Methods Course will include an additional one-day module that will reinforce the methods taught in the standard course. The additional module which will be covered on a fourth day will provide an overview data preparation and analyses using the statistical software Stata. Like the standard course the module will involve both lectures and practical exercises.

The extra module will cover: 

  • data preparation and dealing with missing data;
  • introduction to regression analysis of costs and outcomes
  • overview of survival analysis and panel data regression methods;
  • estimating incremental cost-effectiveness ratios (ICERs) and reporting uncertainty including bootstrapping methods.

Participants will be supplied with a trial version of Stata and online materials to enable them to become familiar with this software prior to attending the course.

For enquiries, including group bookings, please contact the HERC Administration team at, or to be placed on a waiting list for future courses please visit