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