Abstract Details
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Activity Number:
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425
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Type:
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Contributed
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Date/Time:
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Tuesday, August 6, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #310098 |
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Title:
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Discrete Frailty Models in Survival Analysis
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Author(s):
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Ramesh Gupta*+
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Companies:
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Univ of Maine
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Keywords:
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Discrete Frailty ;
Survival Analysis ;
Stochastic Comparisons
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Abstract:
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RAMESH C.GUPTA rcgupta@maine.edu
DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF MAINE ORONO, ME 04469-5752 USA
ABSTRACT Frailty models are often used to model heterogeneity in survival analysis. The distribution of the frailty, is generally, assumed to be continuous. However, there are certain situations where the heterogeneity may be analyzed by using discrete frailty models. The situation might arise, for example, in cure models, where the number of metastasis -competent cells (clonogens) are unknown and the event occurs as soon as one of the clonogens metastasizes. This unknown number can be modeled as a discrete frailty.
In this presentation, we will consider discrete frailty models and study their properties. Some stochastic comparison results will be studied and some examples will be presented.
-------------------------------------------------------------------------------- To be presented at the Joint Statistical Meetings, 2013, Montreal, Canada
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Authors who are presenting talks have a * after their name.
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