Survival Analysis for HTA
Survival Analysis for HTA equips learners with the necessary statistical skills to analyse and interpret survival data commonly used in health economic analyses within health technology assessments.
- Course dates: 20th February - 24th March 2023
- Online Distance Learning (ODL)
- Non-accredited, but with a certificate of attendance
- Course Coordinator: Professor of Medical Statistics Jim Lewsey
This course will demonstrate how survival/time to event data is used to inform health economic analyses within health technology assessments. Topics include: Kaplan-Meier method, Cox regression, parametric survival models, extrapolation, partitioning survival curves, survival model outputs used as inputs in decision modelling.
Five-week online course comprising 5 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 the following week.
Week 1 - Key principles/Kaplan-Meier
Week 2 - Cox regression
Week 3 - Parametric survival models
Week 4 - Extrapolation
Week 5 - Using survival analysis in economic evaluations
£330 for low and middle income countries (LMICs)
£350 for public/academic sector delegates
£550 for commercial/private sector
Email firstname.lastname@example.org to register for this course