[Apologies for cross-listing]
Webinar: Semi-Competing Risks: Accounting for Death as a Competing Risk when the Outcome of Interest is Non-terminal
Instructor: Sebastien Haneuse, Professor and Director of Graduate Studies in the Department of Biostatistics at Harvard University
Date and Time: June 28, 2024 12pm-2pm Eastern Standard Time
Sponsor: Lifetime Data Science Section, the American Statistical Association
Registration Deadline: TBA
Description: The short course will provide an overview of semi-competing risks data analysis. Briefly, semi-competing risks corresponds to the setting where primary interest lies in some non-terminal event, the occurrence of which is subject to a terminal event. Although not as well-known as standard competing risks, semi-competing risks arise in any study of any event that is not mortality but where the force of mortality is strong. Examples include Alzheimer's disease in the elderly; quality of end-of-life care among patients with a terminal cancer diagnosis; graft-versus-host disease among bone marrow transplant recipients; and developmental outcomes among infants admitted to a NICU. Semi-competing risks also arise in some settings where the terminal event is not mortality. In studies of preeclampsia, for example, "delivery" is a competing risk but not vice-versa. In this workshop, we will cover basic concepts of semi-competing risks, various modeling strategies, methods for prediction, and software. In addition, we will apply and illustrate the methods to a study of preeclampsia using data from the Beth Israel Deaconess Medical Center, in Boston, MA, specifically with the goals of quantifying risk factor associations and the joint prediction of preeclampsia and delivery.
Registration: https://amstat.users.membersuite.com/events/2e04bc98-0078-cc10-cd06-0b46dc93b4a4/details (this is the direct link; might not open on Google Chrome; try opening in Safari; 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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Wenbo Wu, PhD
Assistant Professor
Departments of Population Health and Medicine
Center for Data Science
New York University
wenbo.wu@med.nyu.eduhttps://www.wenbowu.me------------------------------