ANOVA, GLM and missing values
- From: andy.spragg@xxxxxxx (Andy Spragg)
- Date: Mon, 08 Aug 2005 08:56:27 GMT
In the software implementations of ANOVA that I have seen, missing
values are not allowed. To analyse ANOVA-type data with missing values
I have to use GLM, which ANOVA reduces to under certain circumstances.
Having now read a little about GLM, I am unable to see why it should
allow missing values when ANOVA apparently does not. As far as I can
see, the generalization from ANOVA lies in the conceot of a link
function, and allowing this to be something other than the identity
function ushers in a new dimension of modelling possibilities.
However, when the link function is the identity function, GLM is
supposed to reduce back to ANOVA ...
So I fail to see what else GLM brings to the party which allows
missing values to be tolerated. I'd be grateful for any insights.
.
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