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Organiser: ISPOR

Time-to-event (survival) analysis is an important element in many economic analyses of healthcare technologies. This is particularly true in oncology given the requirement to estimate lifetime costs and outcomes (ie, extrapolate) beyond the follow-up typically observed in clinical trials. Cost-effectiveness estimates can be sensitive to the methods applied in modelling survival data. Recommendations for selecting a parametric survival model have recently been published, following a review of extrapolation modelling in National Institute for Health and Care Excellence (NICE) technology appraisals. The purpose of this course is to provide participants with an understanding of the fundamentals of survival analysis and key issues to be considered when comparing alternative survival models for inclusion in cost-effectiveness analysis. This will include an understanding of differences between partitioned survival and Markov-based approaches.


  • Chris Parker, MSc - Market Access Director, UK & ROI, Eisai EMEA
  • Andrew Briggs, DPhil - Professor of Health Economics, London School of Hygiene & Tropical Medicine
  • James Lewsey, PhD, CStat - Professor of Medical Statistics, Health Economics and Technology Assessment, Institute of Health & Wellbeing, University of Glasgow

ISPOR short courses are designed to enhance knowledge and techniques in core health economics and outcomes research (HEOR) topics as well as emerging trends in the field. Short courses offer 4 or 8 hours of premium scientific education and an electronic course book. Active attendee participation combined with our expert faculty creates an immersive and impactful learning experience. Short courses are not recorded and are only available during the live course presentation.

Available Dates

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