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ASA LiDS Webinar on Semi-Competing Risks by Sebastien Haneuse at Harvard University

  • 1.  ASA LiDS Webinar on Semi-Competing Risks by Sebastien Haneuse at Harvard University

    Posted 8 days ago
    Edited by Wenbo Wu 8 days ago

    [Apologies for cross-listing]

    This is a final reminder to join us for the upcoming ASA LiDS webinar/short course on semi-competing risks taught by Dr. Sebastien Haneuse at Harvard University.

    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: December 31, 2024

    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.

    Registrationhttps://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 and a separate email with a Zoom registration link for the webinar. All registrants will receive the recording and course materials after the event. If you don't see the Zoom registration link, please check your spam folder or contact me.


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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.edu
    https://www.wenbowu.me
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