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Cost-effectiveness Analysis in Stata Using Participant-level Data

This online course is designed for health economists and health professionals with a background in health economics who want to learn how to conduct cost-effectiveness analysis using the statistical software for data science Stata. 

Generic Stata Programme December 2024

2025 COURSE DATES

classroom based  05-06 june  |  online  02-04 december

Classroom based to be held at the Big Data Institute, University of Oxford and online courses are held via Zoom (live sessions only, no recordings)

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20% DISCOUNT FOR COMBINED ONLINE COURSE BOOKINGS. See our current course offers.

What the course is about 

Economic evaluation in healthcare helps answer the critical question of how to allocate limited resources to maximize health benefits. This course teaches participants how to use Stata to perform cost-effectiveness analysis of health interventions using participant-level data. 

Background 

Health technology assessment and reimbursement agencies, as well as leading journals, have increasingly emphasised high standards for economic evaluations. This course equips participants with the skills needed to conduct cost-effectiveness analyses in Stata that align with these best practices. Participants will learn to prepare Stata scripts, generate reproducible analysis outputs, and document results effectively.

The course introduces a data science workflow to support collaboration, reproducibility, and effective documentation. Participants will work with Stata scripts that can be reused in future projects. Emphasising a "learning by doing" approach, the course aims to build participants' confidence in writing and understanding Stata code through practical exercises. 

Who the course is for 

This course is intended for individuals involved in cost-effectiveness analysis in healthcare, including the analysis of costs, benefits, and summarising cost-effectiveness results with uncertainty. It is ideal for those who already have some understanding of cost-effectiveness analysis methodology.

If you are unsure if this course is right for you, please contact us for advice. 

Prerequisites 

Participants should be familiar with Stata and have an understanding of economic evaluation methodology in healthcare. Ideally, attendees will have completed our "Applied Methods of Cost-Effectiveness Analysis" course or a similar course elsewhere. 

If you need to refresh on Stata, we recommend a guided tour of the interface and an instructional video on getting started. A brief introduction to Stata and data management best practices is included as an optional module the day before the course starts (Monday) 1pm-2.30pm GMT. 

Stata 18 will be used in this course and we will provide a 1-month license of this version for delegates with previous versions.

We suggest participants use two screens: one to follow the lectures and interact with instructors, and another to work in Stata. 

Aims of the course 

  • Provide a detailed study of data manipulation and best practices for Stata workflows in cost-effectiveness analysis
  • Offer hands-on experience through realistic examples of analysing participant-level data of costs and outcomes in Stata
  • Increase participants' confidence in conducting cost-effectiveness analyses 

Course content 

  The taught sessions cover the following topics: 

  •     Course overview, introduction to Stata and data management best practices
  •     Regression methods for time-to-event outcomes
  •     Methods to analyse health-related quality of life and estimate QALYs
  •     Analysis of cost data for economic evaluation
  •     Handling missing data of costs and QALYs
  •     Deriving and handling uncertainty cost-effectiveness summaries

 

Participants will also benefit from the support of an expert team of tutors (including break-out room sessions for online courses). 

The course will be taught in English, and attendees will receive an electronic certificate upon completion. Please note that the online sessions are live and will not be recorded

 

More information

For enquiries or group bookings, please contact the HERC Administration team at herc@ndph.ox.ac.uk. To be informed about future course dates, please register on the waiting list.