[R-sig-ME] R-sig-mixed-models Digest, Vol 32, Issue 24
David Evans
davidwevans at hotmail.com
Sun Aug 23 02:19:25 CEST 2009
Thanks for the help so far. I'll look at mcmcglmm--a good idea, even
though I was hoping to use R for my "quick" exploratory models before
moving to WinBUGS. "Quickly exploring" with mcmc makes me nervous.
David, would it be possible to help me with some references on using
Gaussian errors for binary data which you mention below. I've read
the Paper by Cheung, A modified least-squares regression approach to
the estimation of risk difference, AJE 2007, 166:1337-1344 but was
hoping to find some more on this. In particular, any references which
say Gaussian errors are acceptable in mixed models would be most
appreciated (I have an outcome prevalence in the 0.2's).
Thanks again.
David.
P.S. Judging by the responses I've received, I can see Australia is
not on holidays at the moment, unlike the Northern Hemisphere!
Le 20 août 09 à 12:00, r-sig-mixed-models-request at r-project.org a
écrit :
> Finally,
> there is some literature suggesting that the Gaussian LMM for binary
> data
> might not be too bad, especially if the probabilities are all >0.05.
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