This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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405
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Type:
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Contributed
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Date/Time:
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Tuesday, August 3, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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Abstract - #307642 |
Title:
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A Novel Rank Rest for a Time-to-Event Outcome That Incorporates Information on a Surrogate Event
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Author(s):
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Pamela A. Shaw*+ and Michael P. Fay
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Companies:
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National Institute of Allergy and Infectious Diseases and National Institute of Allergy and Infectious Diseases
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Address:
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6700-A Rockledge Drive, Rm 5230, Bethesda, DC, 20817, USA
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Keywords:
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Interval censored data ;
Rank tests ;
Bivariate censoring ;
Nonparametric likelihood ;
Permutation test ;
Progression-free survival
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Abstract:
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We present a new group level test for bivariate time-to-event data, where one event can be considered a surrogate for the other. This type of data arises commonly when an event of interest, such as survival, is infrequently observed and data on a surrogate (time to remission, time to cancer progression, etc.) are instead collected. In many settings, a time-to-first type endpoint may not be adequate or appropriate to summarize patient outcomes. We propose a rank-based test on a clinical severity score which considers information on both a short-term surrogate event and the long-term true event of interest. The proposed test allows for interval-censored outcomes and incorporates information from the bivariate survival distribution. Properties of the test are explored with a simulation study and the method is illustrated with an applied data example.
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