November 17, 2024
Survival modeling techniques are commonly used to extrapolate clinical trial outcomes like overall survival to a time horizon that is appropriate for health economic evaluations. Standard parametric distributions, such as the exponential and Weibull, have been the de-facto standard for conducting such extrapolations but, with the advent of novel potentially curative therapies, these standard parametric distributions fail to capture the underlying survival trend.
Newer techniques like parametric mixture, mixture-cure, and non-mixture cure models are among novel ways to capture these more complex survival patterns and the incorporation of external evidence has gained prominence.
Enroll in this course to:
- Learn how to identify which methods are most appropriate in a specific context, considering underlying structural assumptions.
- Discuss how modeling choices propagate into health economic evaluations.
- Gain an in-depth understanding of the impact of the choice for a specific method.
- Explore different exercises which will allow you to practice in your own time.
This short course is offered in-person at the ISPOR Europe 2024 conference.
*Conference attendance is not required to attend an ISPOR Short Course. Separate registration is required for conference attendees.
LEVEL: Intermediate
TRACK: Methodological & Statistical Research
HEOR Key Competency: 5.3 Health Economic Modeling
LENGTH: 4 Hours | Course runs 1 day
FACULTY MEMBERS
Schedule:
Sunday, 17 November 2024 | Course runs 1 Day
13:00-17:00 Central European Time (CET)
Register Here
*Conference attendance is not required to attend an ISPOR Short Course. Separate registration is required for conference attendees.
Visit the ISPOR Europe 2024 Program page to view all short courses offered.