Real-world data in healthcare decision making
This course delivers core components of identifying, combining and analysing real-world data to support healthcare decision making.
- Course dates: 12th January – 27th March 2026
- Flexible Online Distance Learning (ODL) - learn at your own pace, in your own time
- Non-accredited, but with a certificate of attendance (there is no assessment)
- This course will be taught using STATA and/or R
- Course Coordinator: Dr Claudia Geue, Senior lecturer in Health Economics and Health Technology Assessment
On completion of the course the student will be able to:
- Critically discuss the key issues of utilising real-world data in health care decision making, in particular with a view of informing decisions on the adoption and use of health technologies
- Critically assess sources of bias and measurement error in routinely collected health data
- Contrast and critically discuss advantages and disadvantages of different study designs (observational data vs data collected from randomised controlled trials) in evaluating health outcomes
- Evaluate and carry out necessary data manipulation steps after assessing data quality
- Evaluate methods to assess types of missing data and utilise imputation methods to address missingness
- Utilise advanced methods to adjust for confounding in comparative effectiveness analysis when using observational data
- Create, interpret and critically discuss output generated from basic and advanced regression analysis for individual-level data and aggregate data
- Enhance skills in writing statistical syntax for data cleaning, data manipulation, and regression analysis of real-world health data
Course Structure
10-week online course comprising 10 lectures and accompanying practical exercises. The lectures will be 45min/1hr in duration and exercises associated with lectures will take a notional 2 hours for the participants to complete. Each week the academic lead will be responsible for monitoring and contributing to the discussion board. The exercise solutions will be posted on Moodle, our digital learning platform, the following week.
Full course details can be found here.
Registration & Fees
Fees are:
£660 for lower-middle-income countries (LMICs)
£704 for public/academic sector delegates
£1,100 for commercial/private sector
If you have any questions about this course, please email us: shw-hehta@glasgow.ac.uk
