Maximising the Value of Clinical Trial Data: Analysis for Economic Evaluation and Modelling MED5374
- Academic Session: 2024-25
- School: School of Health and Wellbeing
- Credits: 20
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 1
- Available to Visiting Students: Yes
- Taught Wholly by Distance Learning: Yes
- Collaborative Online International Learning: No
Short Description
This course will teach the methods of how to analyse and evaluate economic data from a clinical trial (what data to collect, how to value cost and effect, how to analyse the data and estimate cost-effectiveness).
Timetable
10 week online course comprising 10 lectures and 10 accompanying practical exercises.
Requirements of Entry
None
Excluded Courses
None
Co-requisites
None
Assessment
Written Assignment/Coursework - Students will be given data sets and a series of research questions, which they will need to answer by applying methods from the course and write up as a report (2000 words).
Course Aims
This course aims to equip students with the necessary skills so they can carry out a full economic evaluation of an intervention(s) in a clinical trial setting.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
■ Critically assess the steps in conducting an economic evaluation alongside a clinical trial
■ Recognise and critically discuss the difference between a within-trial analysis (short term economic impacts that are observed) and a longer term analysis (longer term economic impacts that are typically only partially observed)
■ Create, interpret and critically discuss ouput from analysing costs using models from the family of generalised linear models
■ Create and interpret model diagnostics to determine best fitting generalised linear models
■ Create, interpret and critically discuss output from analysing treatment effects using parametric survival modelling
■ Create and interpret cost-effectiveness estimates, net benefit estimates and the uncertainty that surrounds these estimates
■ Critically discuss the key issues with extrapolating costs and effects beyond the follow-up of clinical trials
■ Critically assess the methods of generalised linear models and parametric survival models to carry out an economic evaluation beyond observed follow-up
■ Recognise and critically discuss heterogeneity in cost-effectiveness estimates from clinical trials and how statistical modelling can be used to perform subgroup analyses
Minimum Requirement for Award of Credits
Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.