| Date: | Wed, 4 Sep 2002 16:42:16 -0400 |
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| Reply-To: | Jay Weedon <jweedon@EARTHLINK.NET> |
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| Sender: | "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU> |
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| From: | Jay Weedon <jweedon@EARTHLINK.NET> |
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| Organization: | http://extra.newsguy.com |
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| Subject: | Re: power analysis for GLIMMIX |
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| Content-Type: | text/plain; charset=us-ascii |
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On 4 Sep 2002 04:22:37 -0700, serrano@ebd.csic.es (David Serrano)
wrote:
>Dear all,
>
>I have tested the effect of some factors and covariates by using a
>generalized linear mixed model (macro GLIMMIX of SAS). My dependent
>variable was a proportion of observations, so I've assumed a
>binomial distribution of errors and a logit link function. Does
>anybody know if there is a power analysis available for this type of analysis?
I don't know, but I suspect not. Most people would I think use Monte
Carlo techniques.
JW
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