September 25, 2024 - September 26, 2024
Survival analysis — An important element in economic analyses of healthcare technologies
Time-to-event (survival) analysis is particularly important 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 been published, following a review of extrapolation modelling in National Institute for Health and Care Excellence (NICE) technology appraisals.
Enroll in this course to:
- Gain an understanding of the fundamentals of survival analysis.
- Explore the key issues to be considered when comparing alternative survival models for inclusion in cost-effectiveness analysis.
- Learn the differences between partitioned survival and Markov-based approaches.
LEVEL: Intermediate
TRACK: Methodological & Statistical Research
HEOR Key Competency: 5.2 Economic Analysis Alongside Clinical Trials
Faculty
Schedule:
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day
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.