On Wed, 28 Apr 2010, Brad Fulton wrote:
Is there a recommended way to demonstrate improvements in goodness of fit
when using svyglm?
No.
But then, I may be the wrong person to ask, since I wouldn't use AIC, BIC, CIC,
DIC, EIC,.... for independently sampled data either.
In my view, you are either doing prediction, in which case I wouldn't trust the
BIC penalty function (or any other fixed penalty) and would want out-of-sample
prediction error, or doing inference about effects, in which case BIC is the
wrong criterion entirely.
If you would use BIC on independently sampled data, then applying the same
formula to svyglm() output will give a reasonable approximation to the same
thing, but I wouldn't put much weight in small differences.
-thomas
Thomas Lumley Assoc. Professor, Biostatistics
tlum...@u.washington.edu University of Washington, Seattle
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