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Activity Number:
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315
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Type:
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Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #305583 |
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Title:
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Variance Estimation of Partial Population Attributable Fraction and Its Applications
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Author(s):
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Jungwha Lee*+ and Sally Freels and Dulal K. Bhaumik
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Companies:
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University of Illinois at Chicago and University of Illinois at Chicago and University of Illinois at Chicago
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Address:
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, Chicago, IL, ,
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Keywords:
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partial population attributable fraction ; population attributable fraction ; attributable risk
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Abstract:
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The population attributable fraction (PAF) is defined to be the proportion by which a disease prevalence is reduced if the whole population is hypothesized to attain the same risk of disease as the individuals within the unexposed or lowest exposure category. Extensive research has been done to estimate PAF in situations where disease is dichotomous, risk is dichotomous or polytomous and a stratifying factor is present in the population. Adjusted population attributable fractions do not sum to the adjusted summary attributable fraction for the same exposures. Where several exposure factors are to be considered simultaneously, the partial population attributable fraction (PPAF), originated from game theory, can be used to apportion the summary population attributable fraction for a set of exposure factors of interest. We provide variance estimation of the PPAF adjusted for unmodifiables.
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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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