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Abstract Details
Activity Number:
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619
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Type:
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Contributed
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Date/Time:
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Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract - #301374 |
Title:
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Attributable Risk Function with Clustered Survival Data
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Author(s):
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Changchun Xie*+ and Xuewen Lu and Janice Pogue
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Companies:
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McMaster University and University of Calgary and McMaster University
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Address:
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581 Southridge drive, Hamilton, ON, L9C 7V4, Canada
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Keywords:
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Attributable risk function ;
Frailty models ;
Proportional hazards model
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Abstract:
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The Attributable Fraction or risk function (ARF) is used to measure the impact of an exposure on occurrence of disease within a population. For any prospective cohort study, risk is likely to be estimated using time to event or survival data. Attributable risk function with right censored survival data has been discussed by Samuelsen and Eide. We propose a natural extension of the ARF to clustered survival data, which are common in medical research. We derive an estimator of the ARF. Simulation studies are conducted to evaluate the performance of our method and investigate the consequences of ignoring the cluster effect in analysis.
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