[Apologies for cross-listing]
Short course: Cure Models in Survival Analysis
Instructor: Ingrid Van Keilegom, Professor of Statistics, KU Leuven, Belgium
Date and Time: March 20, 2024, 12:00 p.m. – 2:00 p.m. ET (This webinar will be taught via
Zoom)
Sponsor: Lifetime Data Science Section
Registration Deadline: TBA
Webinar Description:
When analyzing time-to-event data, it often happens that a certain fraction of the data
corresponds to subjects who will never experience the event of interest. These event times are
considered as infinite and the subjects are said to be cured. Survival models that take this
feature into account are commonly referred to as cure models. This short course aims to review
the literature on cure (regression) models in which the event time is subject to random right
censoring and has a positive probability to be equal to infinity. We will focus on the existing
models, methodologies for estimating the cure fraction and the survival function of the uncured
subjects, appropriate tests in these models, modern software packages for cure models, as well
as a number of practical examples.
Registration: https://amstat.users.membersuite.com/events/2e04bc98-0078-cf52-7eee-0b4668a66f56/details (please note that this is the direct link; might not open on Google Chrome, please try opening in Safari; event registration is also accessible through Membership Portal on the ASA website under the "Events" tab: https://amstat.users.membersuite.com/events/browse)
Registration Fees:
Lifetime Data Science Section Members: $20
ASA Members: $30
Student ASA Member: $25
Nonmembers: $45
Access Information
After registering, you will receive a confirmation email. In the body of the confirmation email, you will receive the Zoom link for the webinar.
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Esra Kurum
Associate Professor
University of California, Riverside
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