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st: Population Attributable Fraction/punaf: Diagnostics for Wide CIs


From   graupel75@gmail.com
To   Statalist <statalist@hsphsun2.harvard.edu>
Subject   st: Population Attributable Fraction/punaf: Diagnostics for Wide CIs
Date   Tue, 12 Jul 2011 16:54:13 +0800

Hello,

I am using [punaf] to calculate the Population Attributable Fractions
(PAF) from a logistic regression, and have checked models with
Hosmer-L, AIC/BIC, and deltabeta residuals.

I am getting very broad CIs eg, 22% (4 to 37%) for multiple risk
factors and multiple related models.

Are there any methods to determine if these ranges are due to
inherently noisy survey data, or indicate simply inappropriate /
unstable models?

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