Postgraduate taught 

Health Economics and Health Technology Assessment MSc/PgDip/PgCert: Online distance learning

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.

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.