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Activity Number: 689
Type: Topic Contributed
Date/Time: Thursday, August 4, 2016 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #321448
Title: Restricted Mean Event Time in the Presence of Multiple Endpoints
Author(s): Lihui Zhao* and Lu Tian and Lee-Jen Wei
Companies: Northwestern University and Stanford University and Harvard
Keywords: Competing risks ; Semi-competing risks ; Survival analysis

In a longitudinal study with an event time as the outcome variable, the restricted mean event time (RMET) is an easily interpretable, clinically meaningful summary of the survival function in the presence of censoring. The RMET is the average of all potential event times measured up to a time point t and can be estimated consistently by the area under the Kaplan-Meier curve over [0, t]. In this talk, we extend RMET to the setting of multiple endpoints, which includes classical competing risks and semi-competing risks. Statistical methods for two-sample comparison and regression analysis are proposed and illustrated with data from a cardiovascular disease trial.

Authors who are presenting talks have a * after their name.

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