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Abstract Details
Activity Number:
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343
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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Abstract - #303014 |
Title:
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Joint Parametric Modeling of Overall Survival and Progression-Free Survival
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Author(s):
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Somesh Chattopadhyay*+ and Shenghui Tang and Rajeshwari Sridhara
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Companies:
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U.S. Food and Drug Administration and U.S. Food and Drug Administration and U.S. Food and Drug Administration
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Address:
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10903 New Hampshire Avenue, Silver Spring, MD, 20993-0002,
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Keywords:
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Overall survival ;
Progression-free survival ;
Joint modeling
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Abstract:
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Overall survival (OS), defined as the time from randomization to death due to any cause, and progression-free survival (PFS), defined as the time from randomization to either documented disease progression or death from any cause (whichever occurs earlier), are two important endpoints in clinical trials commonly used in oncology. PFS is sometimes used as a surrogate reasonably likely to predict for OS. It is important to find out how these two endpoints are related. In this research we model these two endpoints jointly using parametric models. We explore the properties of the joint model and how to predict OS from PFS using the model.
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