February 2, 2022 - February 3, 2022
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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
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9:00AM-11:00AM Eastern Standard Time (EST)
14:00PM-16:00PM Coordinated Universal Time (UTC)
15:00PM-17:00PM Central European Time (CET)
Thursday, 3 February 2022 | Course runs 2 consecutive days, 2 hrs per day
9:00AM-11:00AM Eastern Standard Time (EST)
14:00PM-16:00PM Coordinated Universal Time (UTC)
15:00PM-17:00PM Central European Time (CET)
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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 been 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
Director, Worldwide HEOR Markets RoW, CAR T and Lymphoma
Bristol Myers Squibb
London, UK
Andrew Briggs, DPhil
Professor of Health Economics
London School of Hygiene & Tropical Medicine
London, UK
James Lewsey, PhD
Reader, Medical Statistics and Director for HTA
Health Economics and Technology Assessment
Institute of Health & Wellbeing
University of Glasgow
Glasgow, UK
Basic Schedule:
Class Time: 2 hours daily