Survival Analysis for HTA
This course aims to equip students with the necessary statistical skills so they can analyse and interpret survival data that are commonly used in health economic analyses within health technology assessments.
This course will demonstrate how survival / time to event data is used to inform health economic analyses within health technology assessments.
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.