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Activity Number:
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413
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Type:
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Contributed
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Date/Time:
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Thursday, August 12, 2004 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #302016 |
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Title:
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The Development of a Frailty Model for Unexplained Heterogeneity in the Framingham Heart Study
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Author(s):
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Usha S. Govindarajulu*+ and Mark E. Glickman and Ralph B. D'Agostino, Sr.
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Companies:
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Harvard School of Public Health and Boston University and Boston University
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Address:
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677 Huntington Ave., Kresge Bldg 9, Boston, MA, 02215,
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Keywords:
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frailty ; Framingham Heart Study ; univariate ; accelerated failure time
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Abstract:
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If differential survival patterns exist among members of a population or rather, unexplained heterogeneity exists in a population, a model needs to be chosen to accurately account for this phenomenon. Frailty models are potential choices for modeling unexplained heterogeneity in a population. Due to the interest of modeling heterogeneity at the individual level, univariate frailty models are considered, namely for a set of persons in the Framingham Heart Study who had atrial fibrillation events and who were followed forward in time for the development of stroke. A new frailty model that models frailty as a function of covariates using accelerated failure time modeling is developed and evaluated on this data. The new frailty model performed considerably well, in comparison to other frailty and survival models, on the atrial fibrillation dataset. In addition, the new frailty model has an added advantage of being able to model the frailty as a function of covariates where the frailty effect is modulated by the effect of the covariates.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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