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Understanding Survival Modeling with Application to HTA- Virtual
LEVEL: Intermediate
TRACK: Methodological & Statistical Research
LENGTH: 4 Hours | Course runs 2 consecutive days, 2 hours each day
Register Here
Wednesday, 25 September 2024 | Course runs 2 consecutive days, 2 hours per day
10:00AM–12:00PM Eastern Daylight Time (EDT)
14:00PM–16:00PM Coordinated Universal Time (UTC)
16:00PM–18:00PM Central European Summer Time (CEST)
Thursday, 26 September 2024 | Course runs 2 consecutive days, 2 hours per day
10:00AM–12:00PM Eastern Daylight Time (EDT)
14:00PM–16:00PM Coordinated Universal Time (UTC)
16:00PM–18:00PM Central European Summer Time (CEST)
DESCRIPTION
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.
Faculty
Chris Parker, MSc
Market Access Director, UK & ROI
Eisai EMEA
Hatfield, England, UK
Andrew Briggs, DPhil
Professor of Health Economics
London School of Hygiene & Tropical Medicine
London, England, UK
James Lewsey, PhD, CStat
Professor of Medical Statistics
Health Economics and Technology Assessment
Institute of Health & Wellbeing
University of Glasgow
Glasgow, England, UK
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.
